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backgrounds in: Civil, Architectural, and Environmental Engineering, Computer and Software Engineering, Computer Science, or a related discipline such as Mechanical Engineering. Candidates must have completed a
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their use in model validation Knowledge of wind farm parameterizations in mesoscale models Experience with wind resource assessment and site suitability, including WAsP and WEng software Experience using
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knowledge on principles of animal disease transmission and control Proficiency in statistical software (e.g., R, SAS, or similar). Creative and interested in exploring new technology and in adopting new ways
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Bioinformatics with at least one first-author publication, accepted or submitted Experience with machine learning will be a plus (e.g., Tensorflow/Keras/PyTorch). Experience with software containers and/or
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or similar. Background in applied physics/materials science. Experience in STM Experience in programming or writing analysis software is advantageous. Previous experience in nano/micrometer-size device
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at DTU Compute. The position is part of the large EU project Shift2SDV, which brings together 81 partners to shape the future of Software Defined Vehicles (SDVs). DTU’s role is focused, and the postdoc
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English Ability to work independently and in cross-functional teams Additional qualifications that will be considered advantages: Experience in software development, control of production systems
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Additional qualifications that will be considered advantages: Experience in software development, control of production systems, manufacturing systems, simulation or AI-based systems. Prior experience working
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postdoc focused on developing new cement formulations and characterization techniques. For algorithms and software there will also be the opportunity to work with the team behind the Core Imaging Library
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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based