Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
-
Field
-
experimental scientists to guide study design and data interpretation Contributing to grant writing and shaping the lab's computational strategy Mentoring and advising PhD students and postdoctoral researchers
-
Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 9 hours ago
the cryosphere, you have experience in computational data analysis or modelling, and you would like to move to the beautiful Swiss mountains, this may be the perfect position for you. If you are interested, please
-
advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
-
, Computer Science, Mathematics, Biomedical Sciences, or a closely related field Strong background in computational data analysis with a solid understanding of biological and biomedical concepts Expertise in machine
-
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
-
for Photon Science we are looking for a Postdoctoral Fellow in serial crystallography data analytics Your tasks The development of serial crystallography data analysis pipelines at SwissFEL and the SLS 2.0
-
protein or nucleic acid biophysics and structural characterization Experience with computational modeling and data analysis Excellent command of English, written and spoken Additional qualifications
-
23 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Environmental science » Earth science Researcher Profile Recognised Researcher (R2) Application Deadline 21 Apr 2026 - 21
-
27 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Chemistry » Other Technology » Biotechnology Researcher Profile Recognised Researcher (R2
-
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