120 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark in Denmark
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of computer-aided tools for chemical and biochemical product and process modeling, process synthesis, design, analysis and operation. The tools are applied in the chemical, petrochemical, pharmaceutical
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, thermodynamic models, and unit operations, developed as part of research projects at both CERE and KTC. These software tools include but are not limited to the Integrated Computer Aided System (ICAS), CAPCO2
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neuroscience, objective measures of auditory function, computational models of hearing, hearing-instrument signal processing, and multi-sensory perception. Our goal is to advance the understanding of the human
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, high-throughput screening, and state-of-the-art carbohydrate analysis, to validate computational designs and generate data that advances our knowledge of enzymatic carbohydrate synthesis towards
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, Department of Civil and Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor
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at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university
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learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas. Preference will be given to candidates with competence in concrete
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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functions at the Centre with assistance in areas such as statistics, programming, analytics, and machine learning. Education: developing a training program focused on data science literacy, guiding