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Field
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machine learning. Candidates in ABD (all but degree) status will also be considered. Experience with electronic health records, physiological signal processing, or predictive analytics in healthcare
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of detailed curriculum vitae structured according to the items under point 5; c) Other documents that are relevant for the evaluation of the qualification in related scientific areas; d) Any other documents
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-Doctoral Research Fellowshoip within the scope of the R&D project “CustomNiTi - Desenvolvimento de distratores ósseos Avançados”, operation code COMPETE2030-FEDER-01180800, at the Center
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for Engineering Design The Laboratory for Intelligence in Design Engineering and Learning (IDEAL) in the Department of Mechanical and Process Engineering invites applications for a Post-doctoral position in
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, telecommunications or related field. Other requirements include: Strong background in communication theory, signal processing, wireless/optical communications, and communication system engineering Extensive experience
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manipulation, tactile sensing or haptic systems. Proficiency in programming (Python, C++, MATLAB, or similar). Experience with robotic platforms and hardware. Knowledge of machine learning and signal processing
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, working at the interface between plankton ecology and computer sciences. The postdoc will work in strong connection with the GreenOwl team of Inria (National Institute for Research in Digital Science and
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platforms and hardware. Knowledge of machine learning and signal processing techniques. Excellent written and verbal communication skills in English. Strong analytical and problem-solving abilities
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, predictiveness, and applicability of such models while ensuring they can be effectively integrated into the engine development process. This includes aspects such as automatic model calibration, validation, while
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neuroscience, cognitive training, and the educational needs of children with ADHD. The primary focus is to engage parents, teachers, and young people in the implementation and evaluation of a new digital mental