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for the position. The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data
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Communication systems and coding experience (C++ and Python) Knowledge of power systems tools like PSCAD, Matlab Simulink, DigSilent PowerFactory As a formal qualification, you must hold a PhD degree (or
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. Be eager to learn new techniques and understand new scientific disciplines. It’s a clear plus if you can code in Python, have experience with liquid-handling robots (Tecan Fluent/Evo, Hamilton MicroLab
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an assessment of relevant methodological approaches. Applicants should furthermore: be able to demonstrate excellent quantitative and coding skills, particularly in R or Python. have a commitment to building on
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record of working with both GUI-based and code-based applications to optimize process simulations and environmental assessment software's (please highlight the specifics in the cover letter). A sound
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Information Work Location(s) Number of offers available1Company/InstituteGEUSCountryDenmarkGeofield Contact City Copenhagen Website http://www.geus.dk/ Street Øster Voldgade 10 Postal Code 1350 E-Mail ismao
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/ProvinceCopenhagenCityCopenhagenPostal Code2800StreetBuilding 307 and 309-313, Fysikvej Contact City Kgs. Lyngby, Copenhagen Website https://physics.dtu.dk/ Street Building 307 and 309-313, Fysikvej Postal Code 2800 STATUS: EXPIRED X
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acceleration for AI, neuromorphic computing, Spiking Neural Networks) Power & Energy Systems (renewable energy integration, power electronics, smart grids, grid code, harmonics mitigation) Advanced Signal
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://www.food.dtu.dk/ Street Henrik Dams Alle Postal Code 2800 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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to thrive in the position, we imagine that you have: Proficiency in software development using Rust, C++, CUDA, and Python. Experience with developing high-performance applications and optimizing code