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Field
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/ knowledge in the following areas: Solid background in motion planning and control of mobile robots Background in SLAM and SA models Background in Reinforcement and Deep Learning in robotics with a focus on
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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-physiology models of interest for: Phenotype classification Estimation of the probability of developing diseases Anomaly detection Early diagnosis. The recipient will learn and apply a vast portfolio of
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. These methods will integrate machine learning techniques and real-time sensor data, to enhance operational efficiency, reduce costs, and ensure desired service levels, such as meeting a high percentage of demand
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multiple disciplines including Social Work, Social Policy and Administration, Psychology, and Sociology. Our research directions are related to migration and population mobility, family and life span
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, including work with experimental in vitro and in vivo models (e.g., cell or animal models), as well as molecular biology techniques, is also considered an advantage. The ability and interest to work in
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for medical applications, micro-robotics, and materials science. PhD project description: The field of medical therapeutics has valuable applications for mobile devices for efficient drug delivery, called micro
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material, and investigations will include, for example, characterizing novel patient derived cultures via various cell and molecular biological assays. Later, the modelling and therapeutical studies
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(ICS). A scientific environment of excellence, highly dynamic, where high-end biomedical projects are continuously developed. Continuous learning and a wide range of responsibilities within a stimulating
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic