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project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant material coatings. Your tasks You will work on basic science topics as well as on applied
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
ecosystem processes, in particular deadwood decomposition, in forests are altered by global change factors such as climate change, disturbances, and management-induced structural changes at different spatial
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and mateRials, fabrication techNologies for the responsible co-creation of future Sustainable integrated electronic systems), an EU MCSA Doctoral Network with 15 funded 3-year PhD positions in parallel
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their supervisor and from colleagues/collaborators motivated for independent literature reading and generating testable hypotheses diligent in documenting their work - both lab work as well as bioinformatic work
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signal processing and/or survey datasets. ML & AI techniques and applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering
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improvement in efficiency through parallelization, near-sensor processing, and heterogeneous architectures with specialized accelerators. Working, teaching and research at ETH Zurich We value diversity and
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bioinformatic analyses (in collaboration with partners at ETH and in the USA) Investigate the underlying mechanisms for the altered composition of the LEC glycocalyx upon loss of core-1-derived O-glycans using
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infrastructure that supports world-class science in Switzerland. To achieve this mission, multiple specialized engineering teams must collaborate effectively, utilizing a dynamic set of processes and tools
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sequencing, single-cell, and spatial data. As a Senior Bioinformatics Analyst, you will play a key role in designing, executing, and documenting analytical workflows while applying scientific rigor and best
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of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and