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Field
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programme No Description/content The PhD programme combines a supervised experimental research project with a three-year graduate curriculum (structured doctoral training). Supervision includes the scientific
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space
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molecular biology and genetics; including medical/clinical bioinformatics) ecoinformatics (modelling of interacting organisms and computational ecosystem sciences) geoinformatics (geographical information
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growing need to help instructors develop critical AI literacy, so they can understand both the opportunities and limitations of these tools. It is also essential to support them in creating inclusive
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• Strong interest in interdisciplinary research Qualifications Research Assistant • Honours degree in (Biology, Neuroscience, Computer Science, Engineering, Mathematics, or related area) In addition
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obtained by partners. General The PhD candidate will prepare a doctoral thesis in the field of Sciences or the field of Physics. You present updates of your work to the project consortium in regular manner
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of the programme DFG (e.g. Research Training Groups) Course-specific, integrated German language courses Yes Course-specific, integrated English language courses Yes Tuition fees per semester in EUR None Semester
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Research training / discussion Yes Support for international students and doctoral candidates Accompanying programme Welcome event University of Regensburg University location Activate map To activate
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Max Planck Institute for the Structure and Dynamics of Matter • | Hamburg, Hamburg | Germany | 28 days ago
interdisciplinary context with a varied programme of scientific courses and soft skills training. The research school is interdisciplinary in scope, and it encourages cross-disciplinary thesis research. Supervision
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Science or German Diplom, preferably in biology, chemistry/biochemistry, psychology, medicine, physics, engineering, or informatics neuroscientific knowledge and interest in an interdisciplinary research