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team. Together you will ensure optimal operation of the beamline and its two end-stations ‘Diffraction’ and ‘Imaging’ for users and your own experiments. You will take an active role in running
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investment aligned with our four research centres (https://www.southampton.ac.uk/research/areas/psychology ). Applicants will have expertise in neuroscience/neuropsychological methods (e.g., functional brain
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writing, and disseminate findings through high-impact publications. Profile PhD in neuroscience, immunology, stem cell biology, or related discipline. Proven expertise in Parkinson’s disease models and iPSC
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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Hospital. - Clinical Oncology - Obstetrics - Gynecology - Pathology - Medical Imaging/Ultrasound - Paediatrics - Gastrointestinal Surgery - Family Medicine - Cardiovascular Surgery - Cardiovascular Medicine
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machine learning and experimental design optimisation. Training and Career Development You will gain interdisciplinary skills in machine learning, medical image analysis, and coating design. As a PhD
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
/#documentos-relacionados ); ii) Curriculum Vitae; iii) official academic degree certificate; iv) proof of enrollment at a PhD of contract signature; v) motivation letter; Applications must be submitted at https
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investment aligned with our four research centres (https://www.southampton.ac.uk/research/areas/psychology ). Applicants will have expertise in neuroscience/neuropsychological methods (e.g., functional brain
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performance Optimise power/energy usage throughout the process The outcome will be to optimise the manufacturing process on the micro-pilot scale to improve efficiency and product quality. About you PhD in data