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Professorship (W3) “Data-based Modelling of Complex Biological Systems” (f/m/d) at the Centre for Organismal Studies Heidelberg (COS) to be occupied from January 2026. Successful candidates (f/m/d) will be
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publications and conference presentations, as well as active networking at the national and international level Lead a motivated scientific team and develop innovative scientific perspectives together
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to an international network of scientists, policymakers, and research organizations. A dynamic work environment in Frankfurt, a diverse and vibrant city offering a high quality of life. Flexible working hours – mobile
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range of goal-oriented development opportunities supported through individually tailored training programs including a well-established doctoral training program An excellent network of internationally
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of investigation for the project will be selected by the project team collectively, depending on the successful candidate’s/candidates’ experiences and network. The PhD/Researcher positions will support fieldwork
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Head of an independent Junior Research Group with Tenure Option at the German Cancer Research Center
employees, five research focus areas, and a wide network of regional locations, the DKFZ has a long history of groundbreaking discoveries in all fields of cancer biology and across biosciences. (www.dkfz.de
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, opportunities for part-time employment Opportunities for further training and building a professional network by participation in national and international conferences A dedicated and supportive team Modern
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networking are further important tasks. Requirements: University degree in veterinary medicine, biology or related fields PhD in Immunology, Infection Biology or related Biosciences In-depth knowledge and
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Research (iDiv) Halle-Jena-Leipzig) as well as international networks Participation in the MSc Evolution, Ecology and Systematics at Friedrich Schiller University Jena through the development
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/natural sciences with advanced experience in lymphocyte immunology Experience with translational research Experience with complex bioinformatic data analysis including the use of R and Python. Excellent