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targets an order-of-magnitude improvement in efficiency through parallelization, near-sensor processing, and heterogeneous architectures with specialized accelerators. chevron_right Working, teaching and
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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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the general public, scientist and third party applications access the meteorological data, and in view of Open Government Data, new APIs, workflows and data processing framework are being developed. Job
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of Mechanical and Process Engineering, ETH Zurich). This interdisciplinary project investigates how the immune system responds to implanted materials, aiming to develop strategies that improve tissue integration
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a PhD or equivalent in Bioinformatics Computational Biology Computer Science Applied Statistics or a related field a substantial postdoctoral or equivalent experience developing and applying
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driving these processes. Our long-term goal is to understand fundamental principles of environmental processes and to inspire sustainable technologies. This is a full-time position (100%), starting in
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biotransformation and impacts on host responses. The work will involve aspects of microbiology, chemical bioanalysis, bioinformatics, and in vitro toxicology to advance animal-free next generation hazard assessment
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) isolated from mouse lymph nodes using mass spectrometry and bioinformatic analyses (in collaboration with partners at ETH and in the USA) Investigate the underlying mechanisms for the altered composition
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and outbound prospects related to any outreach and sales activities for SNAI. Devise and implement sales formats enabling multiple prospects to engage with SNAI offerings in parallel (thematic events
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate