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will help drive innovative research with the potential to improve human health. In this role, you'll work alongside scientists, trainees, and research partners in a dynamic environment that values
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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• Experience in molecular biology techniques • Experience in computational data analysis and scientific programming (Python, R, MATLAB) • Experience in connectome analysis • Experience in molecular dynamics
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interrogation of brain-wide neural dynamics at single-cell and single-spike resolution. We invite applications for a postdoctoral fellow to develop an integrated optical platform for simultaneous whole-brain
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-pathogen interactions. Additionally, you will also benefit from established collaborations and access to state-of-the-art facilities. Tübingen is an international, dynamic, and lively university town
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one of the most dynamic scientific institutions in Europe. Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students Informations
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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matter properties and the dynamics of compact stars using neutrino, EM and GW signals. Candidates with expertise and interests in neutron-rich nuclei structure, dense matter equations of state, neutrino
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such challenge is to improve complex traits such as crop tolerance to dynamic environmental conditions in the current era of global climate change and how to best incorporate this in plant breeding strategies