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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
). The expected results are to create a new standard for automotive testing using RC, including VIRC. Update of IEC 61000-4-21 for large system testing. Information and application Are you interested in this PhD
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, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically
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alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a comprehensive
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intelligence (AI) for optimising the integration of large-scale Battery Energy Storage Systems (BESS) into smart grids to enhance grid stability and facilitate optimal use of connection capacity. The goal
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Lundegaard, plundegaard@sund.ku.dk . All information regarding the advertisement should be directed to associate professor Pia Rengtved Lundegaard. Start: 1 November 2025 or as soon as possible
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and analyzes quantitative and qualitative data on the firms’ pro bono efforts related to human rights, environment and climate change, and migration. PROBONO seeks to understand these dynamics and their
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recognition of a greater breadth of academic contributions in accordance with NTNU's social mission). General information A public list of applicants with name, age, job title and municipality of residence is
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comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus Strategic thinkers with demonstrated interests in strategic games and/or competitive
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comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus Strategic thinkers with demonstrated interests in strategic games and/or competitive
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excellent logical reasoning and a passion for turning data into decisions Clear communicators in a fast-paced and highly collaborative environment Programmers comfortable processing and analyzing large data