61 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" research jobs in Switzerland
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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We are looking for a highly motivated postdoctoral researcher to join our lab of neuroepigenetics at EPFL (http://graefflab.epfl.ch/) ! The focus of the lab are the epigenetic underpinnings
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approaches Applying statistical modeling, causal inference, and machine learning approaches to identify determinants of developmental robustness Applying causal inference approaches to identify critical
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historical building. In your application, please refer to myScience and reference JobID 69620. Where to apply Website https://www.myscience.ch/jobs/id69620-postdoctoral_researcher_in_environmental_
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disciplines (such as STS, cultural studies, social anthropology). The starting date is around September 2026. The position is for two years with the possibility of extension. Job description You will be in
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other means cannot be considered. For questions, contact Kathrin Eckerth by email: sek-mlps-englsem@unibas.ch with the subject Post-doc in English linguistics, Locher. Where to apply Website https
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Hospital, Copenhagen). The successful candidate will be responsible for designing and implementing the predictive modeling strategy of the project. This includes: Developing machine-learning prediction
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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for PhD students and postdocs. Learn more at: https://www.muoniverse.ch/ Who we are looking for Muoniverse positions often serve as bridges between individual research groups and institutions, supported
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Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with industry partner to tackle challenges of practical