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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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qualifications include: Experience with traditional Intelligence analysis tools. Good programming skills in Python, or similar. Curiosity and interest in Agent-based Modelling, Simulation, and Computational Social
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innovation. REUNATECH brings together leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training program in risk assessment, resilience
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/ Computer Science Electricity Markets or Power Systems in addition to solid programming skills (namely Python, Julia) and excellent command of the English language. We welcome candidates with varied experiences and
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and genome editing Proficiency in molecular cloning and NGS library preparation Ability to work in a team as well as independently Excellent written and spoken English communication skills Ambitious
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throughout funding application processes, particularly by providing feedback and input for the business plan components of an application. Assessing opportunities for company growth, whether through
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photonic technologies Realizing first multi-qubit photonic devices for quantum information networks Exploring new routes that bring Quantum Internet a step closer As part of the Danish Ph.D. program, you
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are familiar with literature search can independently perform laboratory work according to method descriptions and procedures have flair for method development and troubleshooting are fluent in English and can
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the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications
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European level Participation in teaching activities Teaching and Learning education You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected