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applications Strong analytical and problem-solving skills Good communication skills and ability to collaborate across disciplines Motivation to make a real-world impact in sustainable energy and industrial
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sustainability, business growth, infrastructure and prosperity. Therefore, we explore and create value in the areas of management science, innovation and design thinking, business analytics, systems and risk
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. Experience in the following topics is beneficial: Synthetic chemistry. Site-directed mutagenesis and cloning; protein expression/purification. Enzyme engineering/evolution; analytical method development
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. Strong coding skills for programming neural networks, machine learning and machine learning software frameworks (e.g. PyTorch or Jax) is a must. The ability for creative and analytical thinking across
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. Strong coding skills for programming neural networks, machine learning and machine learning software frameworks (e.g. PyTorch or Jax) is a must. The ability for creative and analytical thinking across
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analytical and problem-solving skills Excellent written and verbal communication skills in English Ability to work independently and in cross-functional teams Qualification requirements PhD stipends
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modelling, multi-disciplinary optimization or AI-based surrogate modelling techniques. · Soft skills: o Strong analytical and problem-solving abilities. o Excellent communication and technical
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well as analytical methods are an advantage Willingness to handle unsealed radioactive materials within a radiation-controlled laboratory environment Knowledge of handling radioactive materials and radiochemical
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, data analytics, and co-designed interventions. This is an exciting opportunity to contribute to applied research that informs urban policy and planning, particularly around air quality monitoring and
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train connections (30 min. from CPH central station). Description of the PhD project The title of the PhD project is PhD Fellow in Biochemistry. This project focuses on developing and applying analytical