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for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Compute DTU Compute – Department of Mathematics and Computer Science – is an
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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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Job Description We are looking for support for the transcription and coding of qualitative interviews on changes in mobility behaviour (partly in Danish, partly in English) in the URGENT project. You will be part of an ambitious international and interdisciplinary research team in the Human...
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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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interest in pursuing a research career About us: The Dynamical Systems section is part of the Department of Applied Mathematics and Computer Science at the Technical University of Denmark. We strive to be a
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such as LUMI-G. We envision that: You have an open mind and can think creatively in a mathematical, mechanical and programming context and is solution oriented You are eager to elaborate and collaborate
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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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i.e. turning towards in-line production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical
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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