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change, partly based on a long-term monitoring program maintained in a shallow river-connected lake. We look forward to recruiting a creative and dedicated experimental ecologist with expertise in
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, master, and/or Ph.D. programs is possible. SAFE seeks to increase the share of women in research and thus strongly encourages female scholars to apply. We are also committed to promote the inclusion
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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Programme for Women Professors Leibniz Collaborative Excellence Leibniz Transfer funding programme Selection process Funded Projects Open science OPEN SCIENCE Open Access Open and FAIR Data Citizen Science
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development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension plan (VBL) Flexible
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Have: You are enrolled in a Master’s program in biochemistry, molecular biology, chemistry, biotechnology, biophysics, or a related field. You have a strong interest in experimental work and a curiosity
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, Geography, Environmental Physics or related fields A strong interest in plant ecology and climate change Strong Programming skills in C++, the language of the LPJ-GUESS code, or another fundamental
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by NFDI4Biodiversity, part of NFDI, the German National Research Data Infrastructure Program. The project position is part of our Senckenberg Data and Modelling Center (SDMC) with experts in the areas
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genomics will be used to address questions relating to evolutionary relationships and biomineralization in Annelida. This position is funded through the Leibniz Collaborative Excellence Programme, with
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in