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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network project ANT. The objective of Doctoral Networks is to implement doctoral programs by partnerships of organizations from different sectors across
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of organic and inorganic molecules encapsulated inside 2D materials. As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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PhD/postdoc fellows) to carry out experimental projects with an EMBL host research group, thereby allowing them to build new networks, experience the international and interactive environment at EMBL
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to: Be trained to work on the collaborative PLAY study. Work on coding and collating the dataset including coding using the R program language for data cleaning and analysis. Organize lab meetings and
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collect data in the field. Additional duties include, but are not limited to: Be trained to work on the collaborative PLAY study. Work on coding and collating the dataset including coding using the R
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover