179 algorithm-phd-"INSAIT---The-Institute-for-Computer-Science" positions in Switzerland
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of molecular microbiology in the broadest sense. Supervise Masters and PhD students. Organize and participate in the Department's internal and external seminars and various Faculty and University activities and
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The Plant Ecology Group at ETH Zürich, led by Professor Janneke Hille Ris Lambers, is seeking an enthusiastic PhD candidate to study how seed and seedling pathogens influence forest regeneration
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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
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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
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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
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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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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
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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
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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
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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