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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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research group leaders Vocational training at the University of Tübingen International researchers Excellent research conditions Values Career development Benefits Family and career Tübingen and the region
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Analysis of Partial Differential Equations driving the development, analysis, and implementation of efficient discretization and solution methods. In addition, expertise in continuous optimization
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Universitätsklinikum Heidelberg – UK Mannheim GmbH | Mannheim, Baden W rttemberg | Germany | 1 day ago
for your personal and professional development through Heidelberg University's internal educational program This position is generally open to part-time applicants. Salary in accordance with
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Interactions in a Changing World”, together with three tenure-track professorships at the University of Tübingen and a W3-professorship at the University of Hohenheim. TERRA will develop an integrated
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description What to expect: At MSA, you will teach the fundamentals and advanced
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Deadline 23 Jan 2026 - 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 9 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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Responsibilities: Support the development and continuous improvement of the IMPRS program structures. Coordinate the full recruitment and admission process for PhD candidates. Act as a central communication point
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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biology and immunology. They will research the role of the tumor microenvironment in tumor progression and the development of therapy resistance in solid tumors in the thorax. Of particular interest is