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available in the further tabs (e.g. “Application requirements”). Objective The general aim of the programme is to train young academics and scientists through funding of PhD degree studies in Germany. Who can
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the research focus of the RTG 2633, a multidisciplinary program with expertise spanning basic sciences, including immunology, genetics, biostatistics, bioinformatics, systems medicine, anatomy, nutrition
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related to earth sciences for a master’s programme in Germany starting in 2024 (subject to programme resources). Who can apply? Applicants: have successfully completed generally a bachelor’s* degree/a
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Programme is a scientific visitor scheme designed to provide early-career students/researchers (prior to embarking on a PhD) with a passion for technology and tool development an opportunity to gain hands
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program submit an education certificate instead of the graduation certificate), academic achievements of docotral studies Certificate of knowledge of German or Englisch language - English: IELTS (5,5
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in computer science very good knowledge of Python and the ability to familiarise yourself with and contribute to existing development activities prior knowledge of data mining, natural language
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research programs and activities at the institute beyond their thesis projects. The working language is English. PhD Program: Education component A structured doctoral education complements the research
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
experience with programming languages such as Python, R, or Julia and bioinformatics tools Familiarity with cloud computing and high-performance computing (HPC) environments Strong analytical and problem
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of Mathematics, Computer Science and Natural Sciences We are inviting applications for the position of full professor in the area of geometry and probability for high dimensions, to be filled as soon as possible
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language