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concepts. The successful candidate will be able to adjust to different and unexpected conditions, work across disciplinary boundaries, and find creative solutions to research problems. Candidates should hold
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a team towards real-world applications; Creative, ‘making things work’ mentality, independent, and communicative team player; Experienced with writing scientific manuscripts and good academic writing
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materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, electron–phonon physics, and
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for research, education and innovation, where the Martian Mindset can flourish. Our qualification concept is designed to empower early-career researchers to become creative, versatile and responsible risk-takers
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for the Board of the faculty of science and technology Further information Employment as a PhD student is limited to 4 years; teaching and other department duties may be added with max 20%. Placement: Luleå
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and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as
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national and international conferences; Active participation in activities of the department; Teaching (max. 10% of your time). Where to apply Website https://www.academictransfer.com/en/jobs/362638/phd
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(max. 10% of your time). Your qualities We are looking for an enthusiastic candidate, who has (almost) finished a Master programme in Sociology, Interdisciplinary Social Science, or a related field; has
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team player, contributing to the activities and wider aims of the DECISION project. You will work here You will be supervised by Prof. dr. Miranda Meuwissen and dr. Max Koppenberg from the Business
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6 Jul 2026 Job Information Organisation/Company Max-Planck Institute for Meteorology Department IMPRS-ESM Research Field Geosciences » Other Physics » Computational physics Computer science