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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over
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the Free State of Thuringia and the European Social Fund Plus. Your profile: Doctoral degree in chemistry, or life sciences (e.g., natural product chemistry, organic chemistry, chemical biology, biochemistry
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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projects of the research group Qualification Required: A diploma and a PhD in microbial natural product chemistry Hands-on experience and a strong understanding of metabolomics/dereplication of natural
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of chemistry, biochemistry or comparable Salary group 13 TVöD Temporary contract until 30.06.2026 under the reserve that funds are granted Full-time / suitable as part-time employment The Bundesanstalt für
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 hour ago
to collaborative efforts within the lab, and mentor junior researchers. While the position is fully funded, applicants will be strongly encouraged to apply for independent career fellowships. Required qualifications
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and sensing applications in the form of Engineered Living Materials (ELMs). We are seeking to fill a 2-year funded Post-doctoral Researcher position for a project involving the engineering of stimuli
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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Engineering, Computer Engineering, Computer Science, or a closely related field Strong background in robotics fundamentals: kinematics, dynamics, control, planning Proficiency in programming (C++, Python), and