Biostatistician Intern, for Early Clinical Development in Oncology (12-months assignment) Your Mission: · Explore and apply innovative statistical methods, particularly around dose optimization, adaptive designs, and probability of success assessment. · Be part of a Clinical
Universität Bern is seeking a researcher to contribute to the IN/AT‑SYNC JWST project focusing on sub-Neptune atmospheres. The ideal candidate should be proficient in Bayesian statistical methods and have experience with exoplanetary transits and atmospheric physics. The
Your position Your various responsibilities include: Drive your own PhD project on developing mechanistic/process-based, spatially explicit models of insecticide resistance spread and impact, using Bayesian statistics, mathematical modelling, machine learning, and quantitative genetics Implement resistance-spread models using
Senior Scientist — Data Science & AI, Industrial Process Analytics Location: Delft (NL) or Geneva (CH) Are you excited to apply modern data science to real production plants, help process engineers act faster, smarter, and deliver
Joint project between – Pertz Lab () & D. Ginsbourgers Group () We are seeking highly qualified, motivated and creative candidates wishing to join a collaborative project at the interface of statistical machine learning and live-cell
PhD Position in Statistics with a focus on Statistical Machine Learning for Self-Driving Microscopy 100% Joint project between – Pertz Lab () & D. Ginsbourgers Group () We are seeking highly qualified, motivated and creative candidates
Kanton Bern is seeking a fully‑funded Postdoctoral fellow at the University of Bern for a project on atmospheres of transiting sub‑Neptunes. The fellow will contribute to understanding the formation and evolution of these planets by analyzing
Research Associate / Postdoc in Data Science in Lugano, Switzerland Application deadline: Jul 18, 2024 Position: The candidate will work with Prof. Mira ( ) in a dynamic research team within a multidisciplinary and international scientific
Your profile The ideal candidate would have expertise in applying Bayesian statistical methods to astronomical datasets, experience modelling exoplanetary transits, deep knowledge of atmospheric physics (e.g. chemistry, radiative transfer, etc.), and a proven track record as an
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
Postdoc /Research associate (not tenured) position at USI, Lugano, Switzerland Aug 19, 2021 A postdoc / research associate (not tenured) position is available at USI, Lugano, Switzerland. Work will be conducted under the joint supervision of
A research position as a Research Associate/Postdoc in Data Science is available in Lugano, Switzerland. The candidate will collaborate with Prof. Mira, engage in research projects, publish scientific papers, and present findings at conferences. Ideal candidates
About the Project We are looking for a fully‑funded Postdoctoral fellow at the University of Bern to work on the atmospheres of transiting sub‑Neptunes. The fellow will contribute to the SNSF‑funded “Exo‑Neptune Census” starting grant led
Overview One postdoc position in statistics/data science at USI, Lugano, Switzerland to work on a very exciting problem together with the Swiss Data Science Center in Zurich. Its solution will have an enormous impact on how
The University of Bern is seeking a PostDoc to apply Bayesian statistical methods to astronomical datasets, particularly focusing on exoplanetary atmospheres. The role includes collaborating on the IN/AT-SYNC JWST project and mentoring students. This position offers competitive
UniBE is prestigious. With us, you benefit from the excellent reputation of a long-standing institution all around the world. Your profile The ideal candidate would have expertise in applying Bayesian statistical methods to astronomical datasets, experience modelling