60 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" 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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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
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chemistry Ideally with expertise in bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be