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- University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging
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. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application periods The following is valid for applicants from: all countries 1 December - 31 January Combined
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September. Online registration is required prior to application: https://mpimet.mpg.de/en/career/imprs-esm . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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deadline is flexible. Please check https://www.imprs-trust.mpg.de . More information on application periods Please find more details on this website . Combined Master's degree / PhD programme Yes Joint
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an integrated subject consisting of bio-, eco- and geoinformatics in addition to scientific computing. By using the tools of informatics in this subject, anyone can study or model objects, structures, regulatory
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software into the computational environments and data handling routines Presentation of the scientific results on conferences and in publications Requirements Master’s degree in physics or chemistry
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https://www.chemie.uni-bonn.de/de/forschung/bigschemistry for further details). International elements Projects with partners in Germany and abroad Special promotion / funding of the programme DFG (e.g
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. Successful completion of the yDiv programme will be recognised with the yDiv certificate. For more information, please see https://www.idiv.de/?id=1991 . A Diploma supplement will be issued Yes International
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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in scientific careers and professional development. We promote the exchange of scientists across disciplinary boundaries and status groups. For this purpose, MARA provides training via workshops and
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good