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data science, computer science, physics or a related field. Profound knowledge of at least one programming language, preferably Python. Previous experience in machine learning and deep learning
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studying Computer Science, Software Engineering or other Engineering with good knowledge of software development? Do you have good knowledge of common programming languages, in particular Python? Ideally
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as part of the selection process. Further information If you are interested in the programme, please contact: German Academic Exchange Service (DAAD) Regional Office in Hanoi for Cambodia, Laos
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for highly qualified scientists and scholars of all disciplines from selected developing
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Alfred Toepfer Stiftung & Studienstiftung des deutschen Volkes: You and Europe Scholarship Programme
of opposing beliefs and cultural diversity. The programme was developed by the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes) and the Alfred Toepfer Stiftung F.V.S. and will be
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, BMBF, EU, NIH). Coordinate and prepare applications for third-party funding from German, European, and international funding agencies. Act as a the interface between scientists at IBMI, central
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during the stay in Germany (German courses are offered at Helmholtz Centre of Infection Research). Full-time / part-time full-time Mode of study Fully on-site with voluntary online elements Programme
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English. Candidates may write their dissertation either in English or German. Programme duration 9 semesters or more Beginning Winter and summer semester Additional information on beginning, duration and
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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program in computer science, electrical engineering, mathematics, or a comparable field of study Good knowledge of the Python programming language Solid knowledge in at least one of the following areas