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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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. g. single cell sequencing and proteomic). Theoretical and practical knowledge in molecular and cell biology and/or protein chemistry are expected for successful candidates. The candidate should have
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skills proficiency in English (level B2 to C1 according to the Common European Framework of Reference for Languages); knowledge of German would be an asset Experience in the following areas would be
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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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, ideally with knowledge of Drosophila genetics and live imaging the applicant should be able to relocate for 6 months to our collaborator in Chile, where they will develop and optimize novel metabolite
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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
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and the conditions under which desorption may occur. Little is known about how environmental ageing and transport affect the sorption behavior of plastic particles. In arable soils, key knowledge gaps
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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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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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is advantageous knowledge and experience in evaluating scientific data, primarily from imaging techniques, is advantageous good written and spoken English teaching experience in the subjects of “Animal