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Skip to main content. Profile Sign Out View More Jobs Scientific group leader Within enzyme assisted carbon capture and -conversion - DTU Bioengineering Kgs. Lyngby, Denmark Be the First to Apply Job Description We are seeking a scientific group leader with extensive experience within industrial...
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Professor Robert Madsen and will involve the development of new photocatalyzed reactions with bio-derived substrates for forming carbon-carbon bonds. PhD Scholarships in Applied Mathematics – DTU Compute Kgs
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dissemination activities, and carry out research activities. Qualifications To be considered for the position, you need a solid background in: natural sciences (mathematics and physics), demonstrated proficiency
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or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with documented experience in analysing, interpreting bulk and single-cell sequencing datasets. Prior experience with data
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Skip to main content. Profile Sign Out View More Jobs DTU Tenure Track Researcher in Fatigue Analysis and Testing of Wind Turbine Structures - DTU Wind Roskilde, Denmark Be the First to Apply Job Description Do you want to be part of a section that develops the future structural design tools and...
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plants Knowledge of mathematical optimization. Knowledge of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages
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Skip to main content. Profile Sign Out View More Jobs PhD Scholarships in Applied Mathematics – DTU Compute Kgs. Lyngby, Denmark Job Description If you are interested in gaining the qualifications
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internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching
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want to advance the state-of-the-art research in computer vision for material and computational design? The Technical University of Denmark (DTU) invites applicants for a postdoctoral researcher. The
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negative externalities of transport. The division is interdisciplinary with scholars from transportation engineering, economics, psychology, computer science, machine learning, mathematics, and statistics