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Field
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(DSO) to resolve local congestion issues. The design of such an edge decision-making platform requires an understanding of distribution systems operation as well as machine learning and optimization
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) with quantitative techniques (e.g., computer vision, physiological sensing, environmental monitoring, crowd behaviour analysis), as well as researching existing sources of knowledge in the literature and
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researchers working on hyperspectral imaging, radiative transfer modelling, machine learning, agronomy, and plant genetics. You will also work with HYDRA-EO partners in Netherlands, Spain and Italy
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developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore
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Sciences at the University of Amsterdam (UvA). BDA works on the development of methodology for data mining, machine learning/deep learning, data fusion, and modelling and application of these methods
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from blood and redirected toward cancer antigens via gene-engineering with chimeric antigen receptors (CARs) or T cell receptors (TCRs). CAR-T cell therapy has elicited profound responses in
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-analysis, regression modelling, machine learning). You have a solid basis in at least one common high-level programming language (e.g. R, Python). You enjoy collaborative research in international
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natural selection acting on genes, developmental experiences, and learning in context. To illustrate, animals might exhibit anxiety in the absence of immediate threat when encounters with those threats (e.g
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timescales—through natural selection acting on genes, developmental experiences, and learning in context. To illustrate, animals might exhibit anxiety in the absence of immediate threat when encounters with
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the car at home; A great opportunity in a specialized hospital where you can also continue to learn and grow yourself if you wish: the AVL Academy offers innovative and inspiring education in the field