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that transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will be
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modalities, e.g. somatic copy number and mutation analysis Collaborate closely with wet-lab team members to interpret omics findings in a translational, clinical context Write manuscripts and present your work
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in collaboration with PI Dr. Tara Smiley (Dept. of Ecology and Evolution) and Dr. Greg Henkes (Dept. of Geosciences) in the Stable Isotope Laboratory at Stony Brook University (Stony Brook, NY
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. somatic copy number and mutation analysis Collaborate closely with wet-lab team members to interpret omics findings in a translational, clinical context Write manuscripts and present your work at national
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development of career skills or allows them opportunities to learn mew research techniques. They are trained and work in conjunction with a faculty mentor who determines the training agenda. Post-Doctoral
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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machine learning and Bayesian calibration methods to enable multi-scale, multi-physics model development. Complete simulation verification, model validation, uncertainty quantification, and documentation
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cardiovascular care. Within the consortium, TU Delft contributes expertise in cardiac mechanics, soft tissue modeling, growth and remodeling, machine learning, and uncertainty-aware model personalization. As a
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staff to supervise research and teaching, 51 fixed term staff and postdocs, 97 postgraduate students and 2,288 equivalent full-time student-load undergraduate students. To learn more about the School
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. In parallel, the post-doctorant will be associated as co-local contact to studies of other quantum materials using his/her compensated-coil magnetization probe, in collaboration with LNCMI researchers