Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
per week) Participate in academic self-governance Completed relevant university degree (Master's or equivalent) and a completed PhD in sport science, psychology, or a related field Experience in data
-
7 Jan 2026 Job Information Organisation/Company EPFL Department ENAC-IIE Research Field Engineering » Mechanical engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
-
connectivity Profile PhD in neuroscience, biology, bioengineering, or a related field Strong background in cell culture, including primary neurons or iPSC-derived cells Experience with electrophysiology (e.g
-
Publications in top ML conferences and/or prominent journals in materials sciences and device physics Enjoy collaborating with other researchers in a friendly environment Be willing to supervise junior PhD and
-
strains Co-representation and reporting of BPL results in consortium meetings Co-coordination of tasks with all consortium partners Profile PhD in molecular biology, microbiology or industrial biotechnology
-
cosmochemistry team in research, teaching, laboratory activities, and day-to-day scientific operations wherever possible Profile PhD in Geochemistry, Cosmochemistry, Earth or Planetary Sciences, or a closely
-
for structural analysis of metabolites and lipids, creating metabolomics knowledge graphs, and inferring fluxes from MS data. The group collaborates with mass spectrometry vendors and technology partners
-
of scientific results through publications and on conferences. Your profile PhD degree in materials science, physics or chemistry. Deep knowledge in X-ray diffraction and scattering methods. Additional knowledge
-
. Presentation of scientific results through publications and on conferences. Your profile PhD degree in materials science, physics or chemistry. Deep knowledge in X-ray diffraction and scattering methods
-
political science, public policy, political economy, economics, sociology, computational social sciences, or a related field Strong knowledge of advanced quantitative methods is essential (e.g., econometrics