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this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be
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position will work as a member of an interdisciplinary team led by Dr. Colin Xu on Department of Defense (DoD)-funded research project involving the use of statistical and machine learning methods for
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Max Planck Institute for Astronomy | 2 months ago
-Person In-Person Location(s) Heidelberg Germany Job Description We are looking for a member of the software development team specialised in AI & Machine Learning to support the further development
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and Centers: Ophthalmology Appointment Start Date: Immediately available Group or Departmental Website: https://www.simonsfoundation.org/neuroscience/simons-collaboration-on-ecological... (link is
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Partnerinserat Übersicht Research Intern – Machine learning and digital twins 100%, Zurich, fixed-term Drucken inspire AG is the leading Swiss competence centre for product innovation and advanced
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within a Research Infrastructure? No Offer Description We are looking for a Postdoctoral Research Fellow to work on deep learning methodologies for machine and robot perception. The position is
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a
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. The research project is centered on developing and applying modeling and simulations (coupled to machine learning when possible) to characterize and design small molecules for anticancer drug discovery
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involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others. The Jr, Data Scientist will work collaboratively
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 1 month ago
Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the intersection of control theory and scientific machine learning? Join us in