46 assistant-professor-computer-science-and-data-"Prof" PhD positions at Leibniz in Germany
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. Practical experience with Linux/Unix, High Performance Computing, and scientific programming is recommended. Basic expertise with scientific data analysis. Good skills in scientific writing. We expect
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team in Tübingen and contribute to groundbreaking research at the intersection of paleontology, neuroanatomy, and evolutionary biology! For more information about the Senckenberg Gesellschaft für
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proficiency in data analysis and statistical software packages. You have problem solving skills. You fit to us: If you have a strong interest in plant physiology and root biology. If you have strong scientific
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transcriptomics Present findings at conferences and publish in peer-reviewed journals Your qualifications and skills: You hold a Master’s degree (or equivalent) in Bioinformatics, Data Science, Systems Biology or
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which are funded by the federal and state governments. The research institutes belong to the Leibniz Association. WIAS invites applications for a Research Assistant Position (f/m/d) (Ref. 25/16) in
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models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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). The institute also maintains locations in Dedelow and Paulinenaue. The research group “Farm Economics and Ecosystem Services” is a team of dedicated postdocs and PhD students who want to make a difference through
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the potential for long-term societal impact. Join us in uncovering the biology of aging and shaping the future of healthy longevity. Training and research within the PhD program is interdisciplinary. Lecture
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. The project builds on recent advances in NPL synthesis using Cu-Zn-In-S as harmless material alternative to the toxic CdSe, and will be conducted in collaboration with the faculty of chemistry at TU
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Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using computational tools