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in adaptive immune systems (e.g., co-evolution of bacteria and phages, as well as T and B cells with pathogens). • Physics-informed machine learning of biophysical systems (e.g., developing optimal
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calculations, reactive empirical force fields, chemical dynamics, deep learning and numerical algorithms, data analysis, experimental characterization and imaging. Our research has involved methodology and
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At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
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institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa
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, electrical engineering, telecommunication engineering, applied mathematics, or relevant subjects. Proficient in at least one or two of the following skills: machine learning/deep learning, cyber security
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, some of our chemical probes have synergistic anti-tumor efficacy in combination with immunotherapy. The positions will provide deep exposure and training in cancer functional genomics, chromatin biology
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Center for Biomedical Informatics Research, you will have the opportunity to work in close collaboration with clinicians, scientists, and healthcare systems with access to deep clinical data warehouses
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collaborative research environment which will provide the opportunity to perform cutting-edge research in deep learning and scientific computing. Deliver ORNL’s mission by aligning behaviors, priorities, and
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patients with the genetic disease hereditary hemorrhagic telangiectasia. Approaches make use of spatial omics, advanced imaging techniques such as 3D deep tissue staining, microCT, and synchrotron imaging
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Biljecki (National University of Singapore). Your key responsibilities will be: 1. Co-developing the research of work package 1. This work includes, a.o.: Developing deep learning models for the project’s