Sort by
Refine Your Search
-
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
-
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
-
. Authoring and co‑authoring peer‑reviewed scientific publications and presenting results at international conferences. Profile PhD in Environmental Science, Environmental Engineering, Ecology, Ecohydraulics
-
computational biology. Profile PhD degree or equivalent in the fields of cell biology, mechanobiology, bionanotechnology, systems biology, quantitative biology (phenotyping), computational biosystems analysis
-
of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
-
and setup: Within the project, we follow a multidisciplinary collaborative approach for which we are have recruited 3 PhD students focusing on material science, advanced in vivo imaging and computation