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and career growth. The AG Laugsch is embedded within Heidelberg’s excellent computational biology network, fostering close collaborations with experts like Carl Herrmann (Institute of Pharmacy and
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Chemistry to conduct fundamental and applied research at the intersection of machine learning and computational chemistry. In this role, you will develop physics-informed, symmetry-aware models
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Electrical engineering Engineering » Mechanical
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
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biology and genomics. The position offers excellent opportunities for scientific publishing, international networking and academic career development. Our group studies the fundamental principles
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5 Sep 2026 Job Information Organisation/Company University College Dublin Research Field Computer science » Other Computer science » Other Researcher Profile Recognised Researcher (R2) Application
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this position will be to do excellent research at the borderland of behavioral, social, and computer science, both in collaboration with the Aalto team and within your existing professional network. We aim
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in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning
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: 278296 Minimum Education and Experience: Minimum Education: Ph.D. in chemistry, physics, computer science, or a related field, or Ph.D. expected by May 2027. Experience: Demonstrated experience in at least