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Field
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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that enhances policy, practice, industry, and community outcomes · work effectively with multidisciplinary teams including clinicians, human factors experts, computer scientists, and AI experts
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nearing completion); (2) experience or interest in watershed hydrology, urban stormwater, and/or water reuse technologies; and (3) experience or interest in computer programming, process-based modeling, and
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candidates holding a PhD degree in Computer Engineering, Data Science, Computer Science, Electrical Engineering with a strong computational background, or related scientific areas. Proven research experience
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under supervision of a project leader Collect research data; this may be through a variety of research methods, such as scientific experimentation, computer or numerical simulation, literature reviews
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global or low-resource settings. Experience with quantitative and/or mixed methods research. Skills Collaboration. Computer skills. Communication. Analytical skills. Required Documents Resume/CV Cover
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Publish research papers in top-tier journals and conferences Job Requirements: PhD degree in Electrical and Computer Engineering or Computer Science Strong publication record with papers accepted/published
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multidisciplinary approach that combines expertise from computational sciences and chemistry to pharmacy and medicine. The convergence environment will include three PhD positions and one postdoc position