39 parallel-processing-bioinformatics-"https:" positions at ETH Zürich in Switzerland
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publications Evidence of comittment to reproducibity in bioinformatics through the use of Code Repositories Evidence of ability and experience in handling large DNA datasets A strong desire to contribute
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biological scales. Project background Cells are mechanically heterogeneous systems composed of proteins, membranes, and compartments with distinct physical properties. In parallel, they continuously sense and
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simulation, usability evaluation, or human factors Familiarity with speech processing, speaker diarization, or ASR Knowledge of explainable AI methods (SHAP, LIME, attention visualisation) Exposure to clinical
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Zurich translates the science of materials processing into societally impactful technologies through student entrepreneurship and interdisciplinary collaboration. For this research project in partnership
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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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) Separations. Job description Within a broader research program that integrates process modelling, computational materials screening and discovery, experimental synthesis, and mechanistic and performance
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: Demonstrating scalable architectures for fault-tolerant quantum information processing, featuring reconfigurable local control, rapid quantum non-demolition readout, and fast error-syndrome extraction Developing
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joining the team? ETH Zürich is one of Europe’s foremost technical universities, located in the heart of Switzerland. The PhD candidate will be positioned at the Department of Mechanical and Process
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of Energy Systems Analysis (ESA), within the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zurich, is looking for a Scientific Assistant to support a research project of the Chair
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processes, particularly in complex or technically challenging settings. To address these questions, the lab develops and applies new methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, as