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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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, genomics, computational biology, bioinformatics, animal sciences or disciplines related to the PhD position. Affinity to computational genomics, bioinformatics or statistics is a pre-requisite. The writing
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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in teaching. Profile Doctoral degree in biology, computational biology, applied mathematics, physics or equivalent Proven track record in infectious disease modelling, quantitative biology or related
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80%-100%, Zurich, fixed-term The Theoretical Biology Group at the Institute of Integrative Biology ETH Zurich is inviting applications for a postdoctoral position in experimental microbial
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100%, Zurich, fixed-term The Atmospheric Physics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich invites applications for a PhD position (3 to 4 years) focused
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Required Qualifications: A Master's degree (MSc) in geodesy, hydrology, geosciences, geophysics, computer science, physics, or a closely related discipline A strong foundation in mathematics, physics, data