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within the project: “Centre of Excellence in Computer Assisted Systems for Drug Dosing Control and Optimisation”. The candidate should be able to test the developed control strategies in various scenarios
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within the project: “Centre of Excellence in Computer Assisted Systems for Drug Dosing Control and Optimisation”. The candidate should be able to test the developed control strategies in various scenarios
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. Candidate should have extended knowledge in advanced design instruments. Candidate should have average knowledge in computer aided manufacturing. Candidate should be highly motivated to work in an
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within the project: “Centre of Excellence in Computer Assisted Systems for Drug Dosing Control and Optimisation”. The candidate should be able to test the developed control strategies in various scenarios
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Topics and bibliography Topic: Artificial Intelligence, Deep Learning, Computer Vision For further details, please contact us at the e-mail address vlad.hondru@fmi.unibuc.ro , contact person: Asist. Drd
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adaptive robotic medical devices focused on personalised, minimally invasive interventions, targeting the enhancement of Oesophagus and Pancreatic surgery and the development of personalized, dexterous
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smart and adaptive robotic medical devices focused on personalised, minimally invasive interventions, targeting the enhancement of Oesophagus and Pancreatic surgery and the development of personalized
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the underlying mechanisms and functionality of electrochemical biosensors Demonstrated proficiency in computer usage for data processing, documentation, and research support using Mathematica, GnuPlot
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results. Computer skills: Microsoft Office package and specialized software, ChemDraw, Origin. Theoretical and applied knowledge in the field of electrochemical biosensors. Previous participation in
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. Expected Results: Assessment of energy consumption profiles for energy management; Conceptual models and topologies for energy storage systems; Development of a storage device management system; Stochastic