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and societal challenges in blood cancers. The research program covers the entire spectrum of research and innovation in blood cancers, from understanding disease biology to the implementation of novel
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study: · search for the ‘Course Title’ using the programme code: “8100F” · select ‘PhD Chemistry (full time) - Chemistry' as the programme of study You will then need to provide
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PhD Stipend Scholarship – Faculty of Medicine, Nursing and Health Sciences/Monash AI institute [AI-enabled personalised coaching for physical activity, sleep and health behaviour change] Job
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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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algorithms. Vision Language Model (VLM) experience is desirable. Qualifications A high-grade undergraduate degree (first class or upper second) in computer science or MSc in related field. Skills Knowledge
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for the hiring of contract research staff to carry out activities
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an interdisciplinary project in the field of biology, tissue engineering, material science, and chemistry. Complementary to experimental work, the candidate will work on computational models to understand and predict
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 9 days ago
Job Offer from September 15, 2026 The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra
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programming in C++, VTK and QT Research experience in computational mechanics, composite materials, fracture mechanics, or structural engineering. Demonstrated ability to work in multidisciplinary environments
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degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning