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Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact
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will conduct the lab experiment for RAS system for pollution control in recycled water in aquaculture system. He/she will also use machine learning tools to predict and optimize the RAS system. Job
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 5 hours ago
engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 4 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not
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field of engineering Research experience in one or more of the following: geometry, optimization, dynamical systems, mechanics, probability and statistics, data science, machine learning Evidence of
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reading required. Extensive computer work required. Periodic speaking/lecturing for prolonged periods. WORK ENVIRONMENT: Generally pleasant and collaborative work environment. Special Conditions Posting
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of obesity and the onset, progression and consequences of the key conditions that are related to it, as well as the defined set of policy options to be evaluated. The post-holder will also be responsible
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. Preferred Experience Three (3) or more years of clinical experience as an occupational therapist. Equipment Use of personal computer and proficiency in software and research statistical applications. Working
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on the basis of any legally protected category including disability and protected veteran status. To learn more about how BC supports diversity and inclusion throughout the university please visit the Office for
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Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT's Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning approaches
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. Essential Functions Conduct advanced research on robotics and automation, with an emphasis on sensing and monitoring for human-centered manufacturing automation, where robots augment rather than replace human