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data for European and international funding applications. Specific Requirements PhD in Physics, Engineering, Mathematics, Computing, Bioinformatics or related fields. Master's degree in Data Science
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FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Essential: PhD in Materials Science, Physics, Chemistry, Engineering, Artificial
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disciplines such as neuroscience/cognitive science, AI and machine learning, robotics, engineering, computer vision, and signal processing. Details of this year’s workshop are at https://sites.google.com/view
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computational and experimental postdoctoral fellows, graduate, and undergraduate students, and a software and web engineer. Salary and Benefits This position is salaried and benefits eligible. Information
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Photonicsens SL in Valencia, Spain, and one 3-month at Polytechnic University of Valencia are foreseen in the research plan. Opportunity to pursue a PhD degree at a leading European university within a
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knowledge of power system security and machine learning being crucial. The Associate will primarily work alongside National Grid engineers to integrate the machine learning backend of the intrusion detection
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are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You must be
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to project implementation details. Job Requirements PhD degree in engineering (e.g. Mechanical, Clean/Renewable Energy or Building related) or sustainable buildings design. Experience in sustainable design
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant