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work in the biological sciences, and who are dedicated to pursuing a career in academic research. Please visit this video overview of the CASI program for more information from former Program Officer Dr
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. * Strong background in numerical mathematics, modelling and simulation is required. * Knowledge in Inverse Problems. * Experience in programming (e.g., Matlab, C, Python). * A high level of competence in
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, computer science, or a related field. Postdoctoral applicants must hold, or be close to completing, a
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the theoretical foundations for future applications at the intersection of spintronics, magnonics and quantum information science. Successful candidates will apply and further develop theoretical methods
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for minorities The ability to work independently and collaboratively in a diverse team setting Candidate has experience with web-app programming -- HTML, CSS, JavaScript and TypeScript. Experience with
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Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen | Germany | 3 months ago
expertise in at least one of the following areas: neurophysiology, bioacoustics, monitoring of animal behavior, neuroanatomy, programming, and electrical engineering shows strong communication and problem
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industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with
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mit dem Betreff „PostDoc application“ oder „PhD application“ an application@zachegroup.com . Ihre Bewerbung sollte folgende Unterlagen enthalten: • Motivationsschreiben (max. 1 Seite) • Lebenslauf (inkl
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Position Description The new Collaborative Research Centre "Generalised Motivic Methods in Geometry" (DFG CRC 1785) at the University of Regensburg welcomes applications to PhD and postdoc positions
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Jetzt online bewerben: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28347 PhD/Postdoc position in computational biology to elucidate NR2F1 dosage dependent