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flagship programme of research, Inventing Futures (IFs) . This studentship is for full-time study and covers home-level fees and an annual stipend at the level set by UKRI . International candidates
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. The program will equip doctoral candidates with the technical, analytical, and ethical skills needed to lead the future of patient-centered, AI-driven medicine. The advertised PhD project aims to develop robust
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 3 months ago
Job Offer from October 20, 2025 The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra-fast
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/research conferences · Participates in the Sylvester Comprehensive Cancer Center Junior Development Program Qualifications Faculty members in the Department of Public Health Sciences will need to meet the
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algorithms and machine learning. Strong background in programming (e.g. MATLAB, Python) and tools (e.g. Ansys, HFSS or CST Studio Suite). Good Hands-on skills using equipment and hardware platforms including
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of programming languages (e.g., Python or R) We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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Netherlands. The training program will be detailed based on the profile and educational background of the PhD student recruited. PhD training will be framed by the mandatory Doctoral Education Agreement (DEA) between
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At the Faculty of Medicine, Department of Health Science and Technology one or more PhD stipends are vacant, within the doctoral programme Clinical Science, Laboratory and Translational Medicine
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Modern doctoral education with a structured course programme and skills courses in teaching, academic writing, and presenting Guaranteed funding for the duration of the programme Stimulating research
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industrial doctorate position is part of the Predictive Plan programme, aimed as a flagship project for changing planning and scheduling in high mix low volume (HMLV) production by leveraging hybrid AI, data