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postdoctoral position, with the possibility of renewal, in the field of Analysis and Partial Differential Equations (PDEs). Job description - The successful candidate will collaborate on research projects
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the research, development, and application of systems for pathogen genome data curation, analysis, and sharing. You will join the Epidemiology & Virus Evolution (EVE) group at Swiss TPH, working alongside
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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Institute of Technology in Lausanne (EPFL) and is specialised in robot design, hardware development and multi-modal robot mobility. Your tasks Focus on the design, control and integration of a novel
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The Population Mental Health Risk Prediction via Linkage of Multi-Modal Spatiotemporal Environmental Data To Population-Representative, Longitudinal Clinical Measures of Individual Mental Health (PRISMS) project
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supervision of Prof. Robin Erbacher, and is expected to play a leading role within the endcap muon CSC and/or GEM detector subsystems, both on upgrades and operations. They will also work on CMS data analysis
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feedback-driven imaging, image analysis, and visual proteomics. These efforts will be strongly supported by the outstanding core facilities at the Biozentrum, which offer state-of-the-art imaging and mass
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of antimicrobial resistance (AMR) genes. By applying high-throughput sequencing and integrative data analysis in clinical and environmental settings across hospitals in Guinea-Bissau, Nigeria, and Côte d'Ivoire
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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral