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project supported by an ERC Advanced Grant on the Theory of Materials for Bioelectronics. The overall goal of our research is to describe a class of organic materials able to transport ionic and electronic
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University of Eastern Finland Position ID: 3582 -PHD [#26562] Position Title: Position Type: Other Position Location: Joensuu, North Karelia 80101, Finland [map ] Subject Areas: Operator theory
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-based symbolic machine learning. The aim is to give the industrial widely used NewWave theory (a theory that predicts the linear shape of extreme waves) a modern twist to account for the important
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of communication networks Antenna theory Programming Skills: MATLAB, C/C++ Language Skills: Excellent written and verbal communication skills in English are required. French, German or Luxembourgish is a plus. We
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data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on
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-year PhD position at DTU Wind and Energy Systems could be a perfect fit for you. We offer a vibrant, multidisciplinary, international, and friendly environment, encouraging creativity, diversity, empathy
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performance. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior Alpha Monetization. Blend quantitative
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the traffic flow. The project will build on multidisciplinary methods from traffic flow theory, dynamical systems, and optimal and cooperative control. These methods include accurate detection of queues and
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cryptography, and will have an interest in interdisciplinary research. Knowledge of mathematics, particularly number theory, to the equivalent of first-year undergraduate level is desirable. We strongly
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foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and