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conditions, changes appear years before clinical diagnosis. Can we learn to extract them reliably? We are looking for a PhD candidate to join the Acoustics group at the Department of Electronic Systems, NTNU
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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel
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, networking, and signal processing. You have at least intermediate knowledge of machine learning algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or digital
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, clinical data and AI-driven modelling for cancer research! In this role, you will bridge the gap between machine learning, computational biology, and haematological oncology. You do not need to arrive as an
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supervisors will be Dr Catrien Notermans, Dr Sonja Marzi, Dr Elke Linders. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
ideas), how you would apply your existing knowledge to the project, and what new skills or knowledge you hope to learn to complete the project successfully; Higher education certificates (incl. courses
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learn high-end techniques, especially for cryogenic studies, and to build a scientific network in astrobiology and planetary science fields. In addition to the research assignment, participation in
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long as it relates to the French language and aligns with one (or more) of LUCL’s six research programs . You will teach courses in French on topics related to French language and culture and the
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in land-surface, (hydro)meteorological, hydrological, or urban climate modelling (e.g. RANS and LES) — or strong motivation to learn these tools during your PhD — along with an affinity for surface
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to learn them. Affinity with biometeorology, human thermal comfort, and heat indices, with an interest in connecting environmental science to public health data; Solid analytical, programming, and writing