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to include more brilliant minds in our journey. See our publications and projects . DTU Compute DTU Compute – Department of Applied Mathematics and Computer Science – is an internationally unique academic
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Job Description Are you a budding scientist eager to build a strong foundation for a successful research career? The DTU National Food Institute invites applications for a PhD scholarship focused on the optimization of bioactive compound extraction from various seaweeds for the development of...
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Job Description We are seeking a skilled and experienced veterinary pathologist for a part-time position at the National Food Institute. The position will be shared between two research groups: the Risk-Benefit (RB) group and the Molecular & Reproductive Toxicology (MRT) group, but employment...
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Applied Thermodynamics, Transport Processes and Mathematical Modelling. The center has recently entered dynamically into Biorefinery Conversions research field. The focus of Biorefinery Conversions research
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analytical methods. We focus on strong expertise in mathematical modelling, optimisation, machine learning, and data-driven decision-making. As associate professor you will be responsible for the teaching of
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and applying advanced analytical methods. We focus on strong expertise in mathematical modelling, optimisation, machine learning, and data-driven decision-making. As professor you will be responsible
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Job Description Do you want to make a difference by developing “cow-free” milk ingredients? If you excel within heterologous expression in bacterial systems and you are looking for the best place to unfold your skills, we have just the right job for you. Within the next 25 years the world’s...
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written
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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both