62 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" "System Office" Postdoctoral positions in Switzerland
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab ( https
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available on its website https://nccr-genesis.ch . NCCR Genesis is deeply committed to equality, diversity and inclusion. Our aim is to cultivate a respectful and fair work culture with equal access to
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basic research projects i) investigating of the role of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and cancer; see https://data.snf.ch/grants/grant
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highly motivated Postdoctoral researcher (W/M) to join our Neuroengineering Laboratory at EPFL ( https://go.epfl.ch/ramdya/ ) to work on an ERC funded project aiming to reverse-engineer insect limb motor
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infrastructure in both Fribourg and Lausanne. Additional information For more information about HOBEL: https://www.epfl.ch/labs/hobel/ For more information about Prof. Dusan Licina: https
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology
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as cosmology and particle physics. The University of Basel offers an attractive and transparent tenure-track system with clearly defined evaluation criteria, a tenure review after five years, and a
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and accessing energy system models with the methodological expertise of the IMOS Laboratory in machine learning and foundation models. Your tasks Evaluate and benchmark existing pre-trained tabular