Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
the full product life-cycle. Candidates taking an experimental approach offering hands-on learning experiences for our students are highly encouraged to apply. Successful candidates should hold a PhD degree
-
existing methods, our technique aims to use laser energies that are safe for biological tissues, ensuring both efficacy and safety. To achieve these goals, two PhD projects have been designed. One of them
-
processes. Job description We are seeking a highly motivated PhD student to further develop this framework by: Implementing numerical solvers for reaction-diffusion systems Extending the biophysical
-
founded by Innosuisse and the project is in close collaboration with an industrial partner. Profile Applicants for the position are expected to have earned a PhD in heterogeneous catalysis with documented
-
technologies to characterize animal genomes, and apply bioinformatics and statistical genomics approaches to identify trait-associated sequence variation. We offer a PhD position at the interface
-
an enthusiastic PhD candidate to study the short-term adaptation of beech regeneration to climate change. The PhD candidate will be based in the Silviculture Group at ETH (Dr. Mathieu Lévesque) and work in close
-
background Are you ready to dive into Materials Science? We are looking for a PhD candidate at the Laboratory of Metal Physics and Technology (LMPT) to investigate the atomic-scale processes underlying phase
-
instrumentation are a strong plus. This position is fixed term for 18 months with the possibility of extension. Profile The successful candidate should be highly motivated and creative, should have a PhD in physics
-
100%, Zurich, fixed-term The Optical Nanomaterial Group in the Physics Department at ETH Zurich is looking for a PhD student in quantum metamaterials. Optical metamaterials are a rapidly maturing
-
, Environmental, and Geomatic Engineering, has an opening for a PhD student in model-based planning support for transport and urban systems under uncertainty. Planning transport and urban systems is inherently