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Field
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for independent research funding This position offers the opportunity of achieving scientific independence via a habilitation or a fellowship (e. g., Emmy-Noether-Programme, ERC Starting Grant). Applications should
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of the RTG Collaborating with other project partners of the RTG Active participation in the structured training program of the RTG including ring lectures, research and PhD seminars, specialization courses
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Helmholtz-Zentrum für Infektionsforschung | Braunschweig, Niedersachsen | Germany | about 1 month ago
) Country Germany Application Deadline 30 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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/Qualifications Interest in mathematical analysis of approximation algorithms. Preferably practical experience in programming (not mandatory) Interest in teaching in our Data Science program (experience desired
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to the success of the whole institution. The Faculty of Electrical and Computer Engineering the Institute of Semiconductors and Microsystems together with the German Cancer Research Center site Dresden, Division
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About the position We are pleased to offer a PhD opportunity in the field of computational materials science, with a focus on pioneering research in metal oxide growth and dynamics by hybrid
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” (RAISA) as part of the German Research Foundation's priority programme “Antarctic Research”. You will collaborate with national and international partners, including the Alfred Wegener Institute for Polar
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ticket, university sports, internal education program, etc.) Remuneration will be in accordance with the collective agreement for the public service (TV-L). Please send your application in English as a
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Mathematics and Natural Sciences at Heinrich Heine
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strong plus. Software & Workflow Engineering: Proficiency in Programming (e.g., Python, C/C++) for scientific computing; demonstrated experience building automation scripts, simulation workflows, or high