A postdoctoral researcher position is open in Prof. Dr. David Ginsbourger's uncertainty quantification and spatial statistics group at the Institute of Mathematical Statistics and Actuarial Science, University of Bern, Switzerland.

The recruited postdoctoral researcher will be affiliated with Prof. Dr. David Ginsbourger's group. The group is involved in collaborations with national and international partners from various research fields. These include geosciences, with a history of collaborations around stochastic modelling in hydrogeology, geophysical inversion, and atmospheric sciences (with links to the Oeschger Center of Climate Change Research). Recently, the group has also been increasingly collaborating with the Institute of Social and Preventive Medecine and the University Hospital around statistical machine learning for biomedical applications.

For information about the tasks, requirements and how to apply click here.

The funding is secured for up to 18 months with the starting date of May 1st 2023 or as can be arranged by mutual agreement.

Introduction

Institution d’enseignement et de recherche de premier plan au niveau international, l’UNIL compte près de 5’000 collaboratrices et collaborateurs et 17’000 étudiant·e·s, réparti·e·s entre le campus de Dorigny et les sites du CHUV et d’Epalinges. En tant qu’employeur, elle encourage l’excellence, la reconnaissance des personnes et la responsabilité.

Présentation

Afin de compléter son équipe, la Faculté des sciences sociales et politiques et l'Institut de psychologie de l'Université de Lausanne (IP) sont à la recherche d'un·e

PROFESSEUR·E ASSISTANT·E EN PTC AU RANG DE PROFESSEUR·E ASSOCIE·E

OU

PROFESSEUR·E ASSOCIÉ·E

EN STATISTIQUES EN PSYCHOLOGIE

Informations complémentaires

Entrée en fonction : 01.08.2024

Durée du contrat : Professeur assistant en PTC: 2 ans, renouvelable 2x 2 ans, 6 ans, renouvelable

Taux d'activité : 100%

Lieu de travail : Université de Lausanne, Dorigny, 1015 Lausanne

Pour voir l'annonce complete cliquez ici, et pour postuler pour la position clickez ici.

Délai de postulation : 30.04.2023

CTU Bern is the clinical trials unit of the Faculty of Medicine of the University of Bern and works closely with the affiliated university hospital. It functions as a service unit to support and coordinate investigator-initiated clinical studies in any clinical field.

Duties and responsibilities
• Independently prepare, validate, and analyze data of clinical studies (observational studies, randomized-controlled trials, meta-analyses)
• Develop statistical analysis plans of clinical trials
• Support other members of the division and external clients in data analysis and interpretation
• Contribute to the design and development of observational studies and clinical trials. Perform sample size calculation
• Contribute to final reports and manuscripts for publication of research projects as well as research grants for new projects
• Teaching of clinical investigators and study nurses

For more information, the required qualifications and how to apply click here.

We are looking to have the successful candidate in place as soon as possible. The salary of the position is based on the salary scale of the canton of Bern.

The Swiss Group for Clinical Cancer Research (www.sakk.ch) is the cancer research network in Switzerland and employs over 80 people at the Competence Center of SAKK. In line with our vision “We bring progress to cancer care”, we have been conducting clinical trials in oncology as a non-profit organization since 1965.

To complement our team, we are looking for an enthusiastic person to join our team immediately or upon agreement as

Biostatistician 80 - 100 %

To read the complete job description and find out how to apply please click here.

We offer:

Responsible tasks with the opportunity to get involved in clinical cancer research in an academic environment. A collegial and modern working environment near the train station awaits you. Flexible working hours, 6 weeks of vacation if desired and the possibility for home office are part of our very attractive employment conditions.

For more information, you may contact Stefanie Hayoz, PhD, Head of Statistics (+41 31 508 42 20). We look forward to receiving your application online or by email (in PDF format) with the note "Biostatistician" to Cette adresse e-mail est protégée contre les robots spammeurs. Vous devez activer le JavaScript pour la visualiser..

The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, education and services at local, national and international levels. 900 people from 80 nations work at Swiss TPH focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions.
The Department of Epidemiology and Public Health (EPH), within the Swiss Tropical and Public Health Institute, develops and applies epidemiological, statistical and mathematical methods to advance innovation, validation, and application in the field of public health. Within the Disease Modelling Unit of EPH we are looking for a:

Senior Scientist or Postdoctoral Scientist in malaria mod-elling with a focus on vector control (80-100%)

for an exciting opportunity to develop and implement disease and vector biology models to support decision making in health.
There are many open questions concerning the assessment of new and current vector control interventions for the control and elimination of malaria that can only be answered through quantitative analysis, disease modelling and simulation.
The successful candidate will join, and collaborate with a multidisciplinary team within Swiss TPH and external partners, to provide evidence to global decision-makers, funders and product developers. The project is funded the Bill & Melinda Gates Foundation.

For more information and how to apply please click here.

Start Date: as soon as possible or upon agreement

The Institute of Social and Preventive Medicine (ISPM) at the University of Bern performs research in a range of disciplines relevant to public health (www.ispm.unibe.ch). Groups cut across divisions, facilitating an interdisciplinary approach to research in the fields of clinical epidemiology, social and behavioural health, biostatistics, and international and environmental health.
The Child and Adolescent Health Research Group, headed by Prof. Dr. med. Claudia Kuehni, conducts population-based and clinical studies in child health, with a focus on childhood cancer and respiratory disorders.
Most children diagnosed with cancer can be cured nowadays, but the intensive treatments cause health problems in many childhood cancer survivors. The Swiss Childhood Cancer Survivor Study (SCCSS) is a broad research program on long-term somatic and psychosocial outcomes of childhood cancer, with national studies and several international collaborations. We look for a Postdoc, who will coordinate the study, guide PhD students and support the SCCSS team with statistical analyses of datafrom childhood cancer survivors.

For detailed information about the position, the required qualifications and how to apply please click here.

Application deadline is the 1st of April 2023.

The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, education and services at local, national and international levels. 900 people from 80 nations work at Swiss TPH focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions.

Malaria is one of the world's most important causes of mortality and morbidity, mainly affecting countries in low endemic areas. Over the last decade, substantial progress has been made globally in reducing malaria burden through increased coverage with vector control interventions and improved access to diagnosis and treatment. The Swiss TPH develops and applies epidemiological, statistical and mathematical methods to evaluate and predict malaria transmission and the impact of interventions in order to provide support National Malaria Control Programs (NMCPs) and their partners in their evidence-based decision-making processes.

Infectious Disease Modeler

Te read detailed information on the position, the required skills and qualifications and how to apply please click here.

The position will be open until 6th of April 2023. We encourage applicants to submit their application as soon as possible.

Notre département Epidémiologie et Systèmes de Santé (DESS) est actif dans la recherche, le service et l’enseignement académique en santé publique et épidémiologie. Au travers des domaines d’expertise que sont la recherche sur les systèmes et services de santé, l’évaluation et l’implémentation en santé publique, l’épidémiologie des maladies non-transmissibles, les cohortes, les registres, les enquêtes populationnelles, l’économie de la santé, les sciences sociales et la gestion des données, nous visons à créer de nouvelles connaissances pour la communauté scientifique et les autorités de santé publique cantonales et nationales avec le souci d’accroître les interactions entre recherche et pratique de la santé publique.
Nous recherchons pour ce département un·e :

Doctorant·e en Biostatistiques (100%)

Vos missions principales seront les suivantes :
Le projet de thèse sera axé sur le développement de méthodes de méta-analyses pour les événements rares, ainsi que l’intégration des résultats des analyses causales observationnelles dans la méta-analyse. Le/la doctorant/e travaillera majoritairement pour la rédaction de sa thèse de doctorat (~80%), sous la supervision du Dr Privat Docent Patrick Taffé, à l’Unité de Biostatistique du Secteur de la Recherche Quantitative (dirigé par Prof Rousson). Il/elle sera également occasionnellement impliqué/e dans des projets de recherche clinique (~10%) et assistera le Secteur Recherche Quantitative dans ses missions
d’enseignement (~10%).

Pour plus d'information sur les qualification necesessaire et comment postuler cliquez ici ou utilisez ce lien.

Délai de candidature est le 31.3.2023.

70 - 100 % / Unbefristet / Zollikofen / Eintritt per 01.08.2023 oder nach Vereinbarung

Was Sie an dieser Stelle tun

• Im Master (Englisch) und Bachelor Lehrveranstaltungen erstellen, überarbeiten, durchführen und Studierende betreuen
• Den statistischen Beratungsdienst für Studierende und Mitarbeitende leiten
• In Forschungsprojekten der HAFL mitarbeiten und gegebenenfalls eigene Projekte entwickeln und akquirieren
• Das Weiterbildungsangebot in R anbieten und weiterentwickeln
• Das Team Statistik organisatorisch und personell führen

Für weitere Informationen sowie die erforderlichen Qualifikationen und wie Sie sich bewerben können, klicken Sie bitte hier und benutzen diesen Link.

Bewerbungsfrist 31.03.2023

The Institute of Social and Preventive Medicine (ISPM) of Bern performs research in a range of disciplines relevant to
public health (www.ispm.unibe.ch). Groups cut across divisions, facilitating an interdisciplinary approach to research
in the fields of clinical epidemiology, social and behavioral health, biostatistics, and international and environmental
health. The ISPM is highly reputed for its expertise in health effects of environmental exposures, the spread of
infectious disease, and the health of vulnerable groups including children and the elderly.

We are looking for a highly motivated PhD candidate to work on a research project funded by the National Center for
Climate Services (NCCS, https://www.nccs.admin.ch) at the University of Bern. The overall aim of the project is to
quantify the risk of vector-borne diseases in Switzerland with regards to scenarios of climate change.

For details about the project, required qualification and skills and how to apply please click here.

Application deadline by 15 April 2023.