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Field
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. Qualification requirements A PhD degree within neuroscience, psychology, medicine, machine learning or biology or equivalent. Doctoral dissertation must be submitted for evaluation by the closing date
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/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) and radiomics preferred
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-platforms-lab . About You (Selection Criteria) You are a motivated and collaborative early career researcher with a strong foundation in AI and machine learning, and a genuine enthusiasm for applying
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collaborations, and apply for research funding Communicate research findings in scientific journals and at conferences About You You will have completed a PhD in biochemistry, molecular biology, microbiology
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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maintain academic and industry collaborations, and apply for research funding Communicate research findings in scientific journals and at conferences About You You will have completed a PhD in biochemistry
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. Develop grant proposals to internal and external grant funding bodies. Supervise undergraduate and postgraduate students and mentor junior researchers. About You (Selection Criteria) You will have a PhD in
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(experience and qualifications): A PhD in African studies, East Asian studies, international studies, media and communications science, political science, social anthropology, science and technology studies
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structures and reinforcement learning methods for optimizing the structures. The outcome from the models will be tested in experimental setups requiring deep understanding of protein chemistry and molecular
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Good mathematical skills Good writing skills Desire to teach All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be