170 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" positions at Leibniz
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below) . For e-mail application, create a single PDF file and send it to tenuretrack(at)zalf.de stating the reference number T01-2026. https://jobs.zalf.de/jobposting
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/m/d) with Master’s degree in Chemistry/Materials Science/Physics or a closely related field, who is passionate about both physical chemistry and nanoscale characterization of materials. Experience
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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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scaffolds using electrospinning. Characterizing their physical, chemical, and mechanical properties. Modifying the scaffolds through process parameters, chemical synthesis and crosslinking strategies
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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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. An existing team with expertise and drive to move forward synthetic biology in cancer immunotherapy. A well-structured on-boarding process and clear responsibilities. A highly professional and supportive
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research projects communication of research results in stakeholder dialogues with industry actors and policy makers Requirements: Master’s Degree or PhD in Computer Science, Physics, Engineering, Mathematics
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part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further
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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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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