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environment research experience working with real-world non-linear dynamic data, networks, and ideally with applying coupled oscillator models strong programming skills in e.g., Python previous research
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research program – Closed Loop Ai-driven Protein Binder Design Technical University of Denmark (DTU) and Novo Nordisk have initiated a strategic partnership and created a joint cross-disciplinary research
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analyze data. Plan and collaborate on research activities with team members and external partners. Stay updated with relevant literature and methodologies. Maintain and share accurate records of findings
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. The position is part of a project funded by the Energy Technology Development & Demonstration Programme (EUDP). The project is led by Associate Professor Jonas Sundberg and is an interdisciplinary collaboration
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analytical skills, and a proactive and collaborative attitude. Excellent communication skills in English, both written and spoken. You should have a solid background and research experience in computer vision
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response programs in energy efficiency. The projects provide innovative and sustainable solutions for energy production, distribution, and consumption, to improve energy performance in buildings, support
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order to expedite the simulation, MagTense is based on a core implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs
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have demonstrated advanced skills in scientific programming and simulation of complex systems. The candidate should have a proven track record of publishing in peer-reviewed international journals and
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flagellates and early eukaryotic evolution. The position is part of a cross-disciplinary project funded by the Human Frontiers Science Program that combines live imaging of swimming and foraging flagellates
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reforming funded by the Villum Power-to-X Accelerator program (https://vpx.dtu.dk ). The postdoc is fully funded over two-year period. Are you ready to take on the grand challenges using all your skills and