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10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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materials, (d) Artificial Intelligence (AI) models to predict and control the construction process, (e) a digital twin / information backbone that enables cohesive operation of the design and production
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. Starting date is 15 April 2026 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be
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the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV including contact information for at least two references Academic
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position is offered as part of Associate Professor Kasper Heintz’ group to work on observational projects on star and galaxy formation in the early Universe with cutting-edge data from JWST and ALMA
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training pipelines using modern ML frameworks Generating data on miBd–pMHC interactions to guide iterative model optimization, espeicially for specificity Benchmarking AI-designed recognition modules against
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here . Further information Further information may be obtained from Prof. Marcel A.J. Somers (majs@dtu.dk ). You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk
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Job Description Are you experienced in WGS data quality control and analysis from bacterial isolates? Do you have a strong interest in genomics and antimicrobial resistance (AMR)? The Research Group
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experiments on the behavior of emerging contaminants in porous media Performing quantitative data analysis and interpretation of experimental results Working in close collaboration with modelling activities
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validation in rodent migraine models Close collaboration with computational protein engineers and clinical researchers Data analysis, manuscript preparation, and supervision of students where relevant