173 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "U.S" positions at Leibniz
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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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, or comparable research contributions) Experience analyzing structure–property relationships in polymer and composite systems Ability to independently plan experiments and document results Strong written and oral
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consequences for essential ecosystem processes. In the framework of the Biodiversity Exploratories (https://www.biodiversity-exploratories.de/en/ ), funded by the German Research Foundation (DFG), the project
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and part of the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https
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of the University of Trier In order to apply, please register with our online portal here https://leibniz-psychology.onlyfy.jobs/application/apply/cqd93u4mssr06rnvotewpjbkrllsbvj and upload the following documents
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Brandenburg. Support data analysis using pre-developed scripts in R Your qualifications: Currently enrolled in a Bachelor’s or Master’s program in Environmental Sciences, Engineering, Agriculture, Horticulture
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opportunities in research methods and academic publishing. Doctoral candidates at the GWZO participate in the program of the Integrated Research Training Group of the Graduate School Global and Area Studies
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plan (VBL) Flexible, family-friendly working conditions Good transportation connection with parking facilities Restaurants and cafeterias in close proximity Central location near the city center You can
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networks are rewired in response to physiological or pathophysiological stimuli. The project will be conducted jointly with the 'Structural Interactomics Group' led by Prof. Fan Liu (https
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector