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Field
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-driven biomarkers Initial focus will be placed on projects designed to refine and validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing
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biomedical data science, developing new methodology and scalable algorithms, and collaborating with interdisciplinary teams at Duke. Duke is an Equal Opportunity Employer committed to providing employment
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services. Develop AI-enabled algorithms for 5G Intelligent Radio Access Network Document the research methods developed Physical Requirements Communicating with others to exchange information. Environmental
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the neural mechanisms underlying goal switching and behavioural strategy selection, linking algorithmic theories of behaviour to defined microcircuits and pathways. The position will employ a multidisciplinary
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variety of fields, including evolutionary biology, molecular and population genetics, genomics, conservation, and behavior. SciLifeLab is a premier Swedish national research infrastructure dedicated
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optimisation algorithms for quantum routing using genetic algorithms (GA), ant colony optimisation (ACO), and particle swarm optimisation (PSO), optimising cost functions subject to entanglement fidelity
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to create a space where scientific discovery in cancer research is transformed into benefits for human health. In collaboration with the Department of Molecular Human Genetics at Heidelberg University
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analyses Skills and requirements Excellent master and doctoral degree in Computational Science/Bioinformatics Strong background in biological fundamentals, including genetics and epigenetics Expertise in
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, economics, and genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics. The Postdoctoral fellowships are affiliated with CREATE’s
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routine background checks. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms