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knowledge of computer and system architecture, as well as performance engineering. • Pleasure in taking responsibility, independent and structured way of working, high commitment, communi-cation and team
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abroad International comparisons and thematic reference to the international context Special promotion / funding of the programme IMPRS Course-specific, integrated German language courses No Course
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of the Universität Hamburg and our cooperation partners in regard to an extensive workshop programme on career training and key skills, individual career development, mentoring for female PhDs and postdocs, social
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research and start a career as a postdoc at our institute. We offer female scientists the opportunity to participate in our TALENTA program: a comprehensive career and development program that includes
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to perform research internships at other institutions. Course-specific, integrated German language courses No Course-specific, integrated English language courses No Tuition fees per semester in EUR None
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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Helmholtz Centre for Environmental Research - UFZ • | Leipzig, Sachsen | Germany | about 7 hours ago
50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications for open doctoral positions are accepted throughout the year. All doctoral
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working abroad? The aim of the programme is to enable highly qualified academics from abroad to launch their academic career in Germany by establishing an independent junior research group here. German
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reduced, maintenance of the systems could be improved, and operational costs could be optimized. To perform this exciting research, we are looking for a highly motivated student or PostDoc who has recently
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation