220 programming-languages-"the"-"Humboldt-Stiftung-Foundation"-"U"-"Fraunhofer-Gesellschaft" positions at DAAD
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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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in one of the relevant research areas excellent programming skills are desired strong interest in basic research very good written and spoken English skills The position comes with access to high
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., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science very good programming skills in C, C++ fluency in English, knowledge of German would be a
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is interdisciplinary. Lecture series, seminars, journal clubs and courses as well as training in presentation skills and language classes complement the practical work. A thesis committee provides
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Programme funded by the German Academic Exchange Service (DAAD). Successful applicants will receive a PhD scholarship from the DAAD of 1.300 €/month (including health and liability insurance, as
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) Microeconomics / Applied Economics The initial appointment will be 2 years with the possibility of extension. Salary is in accordance with the German State Regulated Public Salary Scale (starting at TV-L E13 2/3
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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these fields is advantageous: Atomic layer deposition, sputtering, XRD, XRR, XPS, SEM. Excellent written and spoken English, knowledge of German is an advantage. Our benefits International and interdisciplinary
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Description The Research Training Group (in German: Graduiertenkolleg, GRK) RTG2670 “Beyond Amphiphilicity: Self-Organization of Soft Matter Via Multiple Noncovalent Interactions” in the second
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practical experience in at least one programming language (preferably Python) Ideally, some practical experience in material characterization methods Structured and analytical thinking as well as a systematic