84 Computer-Science-"https:"-"Data-driven-Materials-Modeling" "https:" Postdoctoral positions in France
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Researcher in Computer Science Employer
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feeds Postdoctoral Position in Experimental and Multiphysics Modeling 171 / 669 vacancy Vacancy details Position description Category Chemistry Contract Postdoc Job title Postdoctoral Position in
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Project INF of the CRC1451: Data Management for Computational Modeling . Within this project, they will develop data-driven, cross-species and cross-scales computational models of motor control based
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within the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python
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data systems and research infrastructure. For further information, please contact Dr. Sandrine Medves (email address: ). Your profile Core qualifications: A PhD in computer science, medical informatics
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millikelvin and can reach large magnetic fields. Our expertise lies in electric, thermoelectric, and thermal experiments for studying quantum materials in extreme conditions. https
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subsequent PhD degree in Nuclear Engineering, Computational Materials Science, Physics, Chemistry, or a closely related discipline Proven experience in mesoscale or engineering-scale modeling of nuclear
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Alexander Skupin: Your profile Core qualifications: PhD in bioinformatics, computer science, computational biology, physics, data science, or related fields Strong interest in interdisciplinary and
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collaborators that can help you expand your professional contacts. 📓Qualifications PhD in Computational Virology, Computer Science or other related field. Awarded the PhD before the start of this appointment
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Synthetic Data Simulation for Malaria Genomic Epidemiology Team: Infectious Disease Epidemiology and Analytics Department of: Global Health Member: Aimée Taylor Scientific Fields Diseases Organisms