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: enhanced load forecasting, dynamic power flow optimization, and localization of energy faults on the grid. While energy analytics will be the main field of application, since the methodologies in work
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learning algorithms. The project is an extension to the ongoing RCN funded project “Transforming Ocean surveying by the power of DL and statistical methods” where academia and collaborating private sector
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user partners such as KSAT. The goal is to develop and verify prototype solutions that can be further developed into commercial products. We are therefore seeking a computer scientist with an interest in
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Professor Omri Snir: email: [email protected] Qualifications The position requires a Ph.D. in medical biology or a related field. Fluency in English and the ability to work in an international setting
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information about the position, please contact Associate Professor Kristoffer Wickstrøm: phone:+47 776 23216 email: [email protected] UiT via Unsplash UiT Qualifications We are looking for a
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relational deep learning techniques aims to provide more effective solutions. The main applications in energy analytics will be: enhanced load forecasting, dynamic power flow optimization, and localization
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. Contact For further information about the position, please contact Dr. Azeem Ahmad: phone: +47 776 45140 email: [email protected] Qualifications This position requires a master’s degree or equivalent in
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. Contact For further information about the position, please contact Dr. Azeem Ahmad: phone: +47 776 45140 email: [email protected] via Unsplash Qualifications This position requires a master’s degree or
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PhD Fellow in "Risk-Informed decision-making for vessel routing and navigation in the Arctic waters"
position, please contact Project Leader Associate Professor Masoud Naseri: phone: +47 77660327 email: [email protected] or Head of Department Associate Professor Bjørn-Morten Batalden: phone: +47 77660329
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PhD Fellow in "Risk-Informed decision-making for vessel routing and navigation in the Arctic waters"
Associate Professor Masoud Naseri: phone: +47 77660327 email: [email protected] or Head of Department Associate Professor Bjørn-Morten Batalden: phone: +47 77660329 email: [email protected]