50 phd-in-graphene-electronics Postdoctoral positions at Technical University of Munich
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to build a collaborative scientific carrier in computer science and medical data analysis at a German top-ranked university. Help to acquire, mentor and teach students (e.g., PhD, MSc, BSc, seminar series
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presentation skills. • Ability to work in a team, with effective interpersonal communication skills. • Willingness to assist with the supervision of BSc, MSc and PhD work Our offer We offer an interesting and
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to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology
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appointment period is three-four years for a PhD student, and two years for a postdoctoral position. We offer a diverse work environment in an international team, with lots of interesting projects and
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consortium-based tasks related to the 6G-Life project. Additionally, the methods and findings developed throughout the PhD track will be scalable and applicable to other research projects in MIRMI
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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cooperation with the other scientists is a prerequisite. Your profile: You have a PhD, work experience and several publications in the field of solid oxide cells. In addition, fluent written and spoken English
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support of your proposed individual research project. Then submit the following documents as a single PDF file via email to the program manager, Anna Kellerer (anna.kellerer@math.lmu.de) stating
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include the University of Oxford, Imperial College London and Ukrainian and British policymakers. What we look for PhD in a policy-related field (e.g., public policy, political economy, economics, political
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal