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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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Qualifications: Ph.D. in Chemistry, Computer Science or equivalent In-depth knowledge and hands-on experience in MD simulation and molecular modeling Experience in processing and analyzing protein structure and
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products) and the host (cells, animals and humans) in synergy with the expertise available within the department; develop holistic models to simulate and steer these interactions; combine our expertise
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. This position is expected to work independently under the guidance of the principal investigator. Projects will involve work with animal model and human patient sample experiments to investigate blood cancer
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Caro's group, whose core expertise is the development of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science
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of machine-learning-infused atomistic modeling techniques and their application to important problems in chemistry, physics and materials science. Together, you will help advance a key scientific
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the central nervous system, acting as a key determinant of its immune landscape at steady state. This PhD project aims to dissect the molecular and cellular mechanisms that control these processes in the CNS
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in ongoing research projects to study molecular and cellular mechanisms underlying axon regeneration failure and neural damage and to develop effective therapies for CNS damage. After a short term of
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-engineered T cells, NK cell therapy). • Hands-on experience with molecular biology techniques, flow cytometry, and animal models of cancer. • Track record of productivity demonstrated by first-author
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assisting with experiments involving cell culture, molecular biology, spatial biology, and animal studies. This position is ideal for an individual seeking hands-on research experience in an academic