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Field
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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PhD Positions Application Deadline 3 Mar 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through the EU
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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Geomatics / Global Change Ecology / Urban Science and Sustainability
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: www.cliccs.uni-hamburg.de/jobs The envisaged start of the Ph.D. position is April 1st, 2026 and is initially limited to three years. Successful applicants will join the department Regional Land and Atmosphere
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Skills/Qualifications Applicants should have a solid background in natural or life sciences, including (but not limited to): Chemistry Physics Pharmacology Biochemistry Prior experience in molecular
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, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning
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, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
resources management Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 23 Feb 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job
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lifecycle of a process node, and should cover a wide variety of use cases, across different customers, with minimal adaptation. Developing beyond state-of-the-art techniques enabling such ML behaviour of ML