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Summary UChicago is part of a mega-National Institutes of Health (NIH) program that aims to be the first comprehensive study to investigate precision nutrition. The goal is to develop algorithms
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plans. Supported by correlation algorithms applied to telemetry, irrigation, and nutrient data, information integrity is ensured for both regulatory purposes (through automated report generation) and the
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
. The objective is to define robust, scalable theoretical and algorithmic tools applicable to complex and interconnected systems such as smart grids, sensor networks, multi-robot systems, and cyber-physical
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Duke University - Biochemistry & Cell Biology | Durham, North Carolina | United States | about 2 months ago
positions in deep neural networks for biology. Successful candidates will have a strong interest in developing, interpreting, and applying new AI algorithms and models, motivated by biological research in
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. Carry out the development, simulation and evaluation of algorithms. Participate in the writing of scientific documents and articles. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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techniques, or ontology alignment algorithms. - Solid grounding in software engineering practices: UML modelling, simulation, and testing under ISO/IEC/IEEE 29119. - Strong technical writing, documentation
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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systems. Examples of research topics include advanced motor control using digital control algorithms (e.g., model-predictive control, adaptive controllers) and their implementation on digital platforms (e.g
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theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI