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related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis, or computational modeling
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Degree Doctoral Degree Course location Heidelberg Teaching language English Languages Courses are held in English. Programme duration 6 semesters Beginning Winter and summer semester Application
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, or computational modeling strong communication skills, both written and verbal in English ability to work both independently and collaboratively in an interdisciplinary team commitment to responsible research and
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lectures, workshops and colloquia in the curriculum of the doctoral programme are held in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We strive for universality, diversity
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information about the degree program https://iee-unsjconicet.org/maestria_ingenieria_electrica/
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presentations Participate actively in team meetings and research discussions. Your qualifications Currently enrolled in Computer Science, Data Science, Mathematics, or a related field Basic knowledge in machine
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international project partners, embedded in an ERC-funded project. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which
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postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https