Sort by
Refine Your Search
-
Listed
-
Employer
- University of Basel
- ETH Zürich
- Empa
- Universität Bern
- ZHAW - Zurich University of Applied Sciences
- Academic Europe
- ETH Zurich
- Ecole Polytechnique Federale de Lausanne
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Applied Sciences Northwestern Switzerland
- University of Bern
- University of Zurich
- École Polytechnique Fédérale de Lausanne (EPFL)
- 4 more »
- « less
-
Field
-
responsibility for her/his experiments and scientific development Applicants should hold a Master’s degree in Biology, Biomedicine, Pharmaceutical Sciences, or a related Life Science discipline The ideal candidate
-
niches. Building on our experience in cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites
-
). Hands-on laboratory experience with lasers, optics, or photonic devices. Skills in experimental data acquisition and analysis (in Python). Motivation to combine computational modeling with experimental
-
: Design and perform experiments using NMR spectroscopy and single-molecule FRET Purify and biochemically characterize proteins and their complexes Analyze and interpret advanced biophysical and single
-
ETH Zurich is one of the world-leading universities for science and technology. At ETH Zurich, researchers experience a climate which inspires top performance. Situated in the heart of Europe, yet
-
with a strong interest in understanding the drivers of cancer spread. We focus on characterising the dynamic behaviour of tumour cells within distinct metastatic niches. Building on our experience in
-
plant breeding technologies. Using a mixed-methods approach (qualitative, quantitative, and experimental), the PhD will help map current debate, decode the moral “logic" beneath disagreement, and generate
-
. The successful candidate will work on cutting edge research combining computational modelling with experimental validation. The project involves developing meso- and continuum-scale models, application of porous
-
computational modelling with experimental validation. The project involves developing time- and position-dependent models of electrochemical double layers, and parameter estimation methods incorporating
-
transport modelling, and data science. Solid programming skills (ideally Python) and experience with data analysis. Self-motivation and curiosity to learn and grow independently. Strong communication skills