418 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Switzerland
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- ETH Zurich
- University of Basel
- ETH Zürich
- Empa
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- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Academic Europe
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- University of Zurich
- EPFL
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- Swiss Federal Institute of Technology Lausanne, EPFL
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- University of Lausanne;
- Universität Bern
- ZHAW - Zurich University of Applied Sciences
- EPFL - Ecole polytechnique fédérale de Lausanne
- ETH ZURICH
- Ecole Polytechnique Federale de Lausanne
- GRADUATE INSTITUTE
- Graduate Institute of International and Development Studies, Geneva;
- Institute for Research in Biomedicine (Bellinzona)
- Paul Scherrer Institut Villigen
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- UNIVERSITY OF ST GALLEN
- University of Applied Sciences Northwestern Switzerland
- University of Berne, Institute of Cell Biology
- University of Geneva
- Université de Genève
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of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website
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culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal
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diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we
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Medicine (https://www.irem.uzh.ch/en.html) combines cutting-edge stem cell and bioengineering research to advance regenerative therapies. Based on bio-inspired principles and novel biomimetic technologies
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, running expenses, and competitive start-up packages. Additionally, the successful applicant is expected to acquire external research funding. Zurich's scientific environment encompasses a rich spectrum of
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systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures
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these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/postdoctoral-researcher-in-peri-urba… Requirements
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transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs