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- Participatory Methods for Impact chain assessment and backcasting Reference code: 50139757_2 Commencement date: August 1st, 2025 Work location: Hamburg Application deadline: 04.06.2025 The Climate Service Center
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of new EEG and MEG neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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: The successful candidate will work in a team developing metal-free magnetism in graphene-related materials and organic 2-dimentional crystals by means of theoretical materials science. A wide range of quantum
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at investigating spin-crossover (SCO) complexes in direct contact with surfaces, where the interaction of the molecules with a metal substrate is gradually tuned by inserting an insulating layer of variable
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environment On-campus mentoring and “soft skills” training programs Prospective applicants should prepare the following documents: CV (up to 2 pages) detailing academic training and achievements List
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Social Code IX (SGB IX) will receive priority for employment. Please submit your application including a motivation letter, CV, copy of degree certificate, transcript of grades (i.e., the official list
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early