-
Science or related field Strong skills in quantitative methods and a strong command of R or another statistical programme Motivation to conduct independent research on your PhD as well as work together
-
analyses. This project is funded by the Swiss National Science Foundation (SNSF). The PhD candidate will collaborate closely with other PhD students and postdoctoral researchers, both within the group and
-
of research methods and statistics; ideally you are familiar with analysing quantitative survey data; in case, willingness to learn these skills independently. High level of commitment, intrinsic motivation
-
doctoral and postdoctoral researchers on material surface development, in vivo small-animal studies, in vitro organotypic bone models and in vivo large animal. The research will be conducted collaboratively
-
3 Oct 2025 Job Information Organisation/Company Ecole Polytechnique Federale de Lausanne - EPFL Department Microengineering - IMT Research Field Engineering » Microengineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 31 Oct...
-
, policy-relevant research. Hold (or will have completed at the time of appointment) a Master’s degree in Economics, Econometrics, Data Science, Statistics, or a closely related quantitative field. Possess a
-
programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills
-
. Candidates should be able to independently conduct statistical analyses in R, be able and willing to conduct fieldwork in the Swiss Alps, and have knowledge in plant species identification. Prior experience
-
Ecole Polytechnique Federale de Lausanne, Unsteady Flow Diagnostics Laboratory Position ID: Ecole Polytechnique Federale de Lausanne-Unsteady Flow Diagnostics Laboratory-PHD [#30284] Position Title: Position Type: Student programs Position Location: Lausanne, Vaud 1015, Switzerland [map...
-
emission from marine and terrestrial sources, through its chemical transformation in the atmosphere, and finally to its deposition as wet or aerosol particles. You will also use statistical inference methods