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intelligence, computer science, remote sensing, geomatics, data science, or a forest/environmental science discipline with a strong quantitative or AI component Strong knowledge of machine learning and deep
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. Programme duration 6 semesters Beginning Winter and summer semester Application periods The following is valid for applicants from: all countries For the summer semester: until 30 November The following is
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receive. The applicant should have a strong quantitative background, for example in statistics, mathematics, computer science, or a related field, very good programming skills, a demonstrated interest in
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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education. You must meet the requirements for admission to the faculty's Doctoral Programme in Engineering The appointment is to be made in accordance with NTNUs guidelines for recruitment positions
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across polymer science and related fields. The position is funded through the EuroTech programme, which promotes research collaboration between leading technical universities across Europe. As part of
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, you will work at the intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types
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. The IMPRS-KIR is a research-driven PhD programme based in the history and philosophy of science, technology, and medicine (HPSTM). It is a collaboration between the Max Planck Institute for the History
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. The faculty provides education to 6,000 students and employs 700 staff. Education is organised into six programme clusters: Psychology; Artificial Intelligence; Pedagogical Sciences and Educational Sciences
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, physics, chemistry, psychology, computer sciences, engineering) Acceptance by an authorised academic supervisor at the medical faculty, excellent academic grades in previous studies and some previous