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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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, 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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Hospital. - Clinical Oncology - Obstetrics - Gynecology - Pathology - Medical Imaging/Ultrasound - Paediatrics - Gastrointestinal Surgery - Family Medicine - Cardiovascular Surgery - Cardiovascular Medicine
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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
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/2019, of December 16, which approves the FCT Research Scholarship Regulation, I.P. available on https://www.iniav.pt/images/INIAV/Recursos-humanos/Bolsas_estagios/BE_2020/ regulamento_bolsas_iniav.pdf
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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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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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imaging analysis, AI/ML development, omics technology development, biomedical data integration and mining, translational bioinformatics, computational medicine, statistics/biostatistics, mathematics, data
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are notified of the composition of the committee, and each applicant can comment on the part of the assessment that relates to the applicant. You can read about the recruitment process at: https
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(if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft