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zebrafish and controlled lab studies on early-stage Seabass. The candidate will work with a dynamic team spanning basic biologists, neuroscientists, bioinformaticians, and aquaculture specialists to develop
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zebrafish and controlled lab studies on early-stage Seabass. The candidate will work with a dynamic team spanning basic biologists, neuroscientists, bioinformaticians, and aquaculture specialists to develop
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with the team. Lead sensor deployment experiments in controlled and semi-controlled aquaculture environments; optimize and calibrate and validate sensor streams for real-time analytics. Prototype and test AI
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nationally and internationally. Plan, undertake and/or oversee the statistical analysis of research projects (primarily randomised controlled trials), and contribute to their reporting and dissemination. Lead
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FEA Simulation and Computational fluid dynamics SLS, SLM, FDM, PBF and DED 3D printing experiment Monitoring and Inspection of AM Optimization and control to improve quality of polymer and metallic
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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon
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. The candidates must be fluent in Portuguese and possess a good command of English. 11 – Scientific supervision Ms. Conceição Juana Espinosa Morais Fortes, Ms. Liliana Vieira Pinheiro and Ms. Ana Cristina dos
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)hydrologic models, and produce novel scientific insights regarding hydrologic responses and their controls during climate extremes. Required Department Minimum Qualifications: Ph.D. or other terminal degree in
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understanding of IP networking across various wired and wireless technologies and scenarios from host-internal communications to WAN and inter-domain networking, Excellent command of foundational and applied AI
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tasks using impedance control Contribute to data analysis of force/torque and kinematic data Integrate key research findings in novel robot impedance control frameworks Publish research outcome in peer