180 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions in Switzerland
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100%, Zurich, fixed-term The Plant Ecological Genetics (PEG) group at the Institute of Integrative Biology, led by Prof. Alex Widmer, studies plant ecology, genetics and evolution to investigate
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at the interface of computational modeling, biomedical data analysis, and clinical neuroscience. Job description Support clinical trial planning, including modeling of historical control groups and the development
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in this direction, it is currently looking for a skilled student Research Assistant (RA) to lead the technical development of a web-based platform for educational research. Project background
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welds. Modelling and simulation: development of a physics-based simulation framework (e.g., phase-field modelling) to predict hydrogen-assisted crack growth and long-term mechanical integrity of steels
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to lead the development of scalable web applications and cloud-native infrastructure. You will architect solutions, mentor team members, and drive technical decisions across frontend, backend, and DevOps
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Understanding of assay development and adaptation for automated environments Ability to communicate effectively with researchers from different scientific backgrounds Previous experience as a laboratory
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Strong command of R Didactic competence and enthusiasm for teaching Willingness to collaborate with colleagues, and to contribute to the academic activities and further development of the Political Science
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in vivo imaging and computation, and in vivo molecular biology, where the Postdoc position (LBB, ETH Zurich) will be focusing on the further development of our multiphoton intravital imaging technology
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year, with a prospect of becoming indefinite) on the development of the data-analysis suite and pipeline infrastructure for the upcoming gravitational-wave space observatory LISA. In 2015, the LIGO–Virgo
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Your profile We seek candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation