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join our accomplished team! Your place of work: The Department of English and American Studies hosts research and teaching in the areas of literary and cultural studies, as well as linguistics, ELT/TESOL
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.) • Professional expertise: Knowledge in experimental aerosol physics and laboratory and field work, ideally including experience in the measurement of aerosol microphysical properties • Excellent programming
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, and airborne measurements Very good programming skills (including Python and/or Igor) Experience in teaching aerosol physics-related classes and supervising students is considered an asset Experience
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exceptional precision. The candidate's project will focus on analytical metabolomics for (sub)cellular analysis. The method-oriented research plan supports cutting-edge biotechnology on synthetic organelles
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structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors
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programme "Philosophy and Economics" (within the scope of the provisions of the collective bargaining agreement). participate in examination activities, evaluation measures and in quality assurance. take on
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, natural sciences, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of networks Proven ability to publish in leading international journals Excellent
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at the department This is part of your personality: Completed Master's degree or Diploma, programme in natural sciences or equivalent aptitude. Didactic competences / experience with e-learning Excellent command
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of an employee's absence. Your future tasks: Active participation in research, teaching & administration, which means: Independent teaching in the Bachelor and Master programs of the faculty to the extent specified
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communication skills in English. • You possess excellent programming skills; within the DYNAMITE code, the combination of computationally intensive dynamical models and stellar population models applied to state