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an outstanding track record or strong interest in the fields of antibody design, structural biology, AI/machine learning, or immuno-oncology, we invite you to apply with a project proposal for a position in our
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Better at Work. Better at Life. When you work at St. Jude, you'll join a highly collaborative work culture that inspires you every day to be your best. With opportunities for learning and growth
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, and inclusion. The candidate will be expected to teach courses in Ecology and be able to contribute to our introductory general biology course sequences, in particular Biology 111: Unity & Diversity in
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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Keywords: theoretical biophysics, machine learning, kinematics, (structural) biology. Context. Machine learning techniques have made significant progress in prediction of favourable structures from
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Assistant/Associate Professor at the interface of chemistry, biology & medicine(computational focus)
the behavior of biological systems at the molecular or cellular scale; building and deploying computational or machine learning strategies in drug design or development; and other research programs that align
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materials and devices, calorics, heat transport, and thermal management. Experience with applied computational techniques and machine learning methods is a plus. Some postdoctoral research experience is
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Curriculum and other under and post graduate degree programmes that involve the Faculty of Medicine. Further, they will be expected to teach in areas outside their specialisation. The successful candidate will
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the broad landscape of computational science, including artificial intelligence, machine learning, deep learning, and their applications in addressing complex scientific and societal challenges, encompassing
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are in engineering sciences, mathematics, computer sciences, natural sciences and medicine. Our economics, social sciences and humanities are indispensable and crucial disciplines in a modern university