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Job Description Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies
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, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
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research. These new faculty positions represents part of a major research initiative by VT located at both our main medical center campus in Roanoke (https://hst.vt.edu/campus.html ) as well as our facility
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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
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of immune cell function. These projects are focused on making safer and more effective cell therapies (e.g., CAR-T) and gene therapies for cancer and beyond. We are an interdisciplinary lab spanning
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training and research focus in statistics, data science, machine learning or artificial intelligence (as evidenced by thesis/dissertation topic and their publication record), and hold a PhD (or equivalent
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for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion phenomena and link speciation with
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, Cambridge, Heidelberg, Innsbruck, and Munich. The Stegle group is jointly based at DKFZ and EMBL and embedded in Heidelberg’s vibrant ecosystem for data science, machine learning, and computational biology
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modelling, stem cell biology (animal-/humanderived tissues), micro-physiological systems (MPS), organ-on-chip, zoonotic diseases, drug/vaccine testing and validation for zoonotic diseases, machine learning in
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The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites