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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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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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Job Description The section for statistics and data analysis is looking for a Postdoc to join the section, with the aim of strengthening the section’s work within scientific consultancy in
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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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read more about career paths at DTU here . Further information Further information may be obtained from Professor Mads H. Clausen, mhc@kemi.dtu.dk You can read more about DTU Chemistry at www.kemi.dtu.dk
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. Development of quantitative image analysis to extract information on atomic vibrations and displacements from image series. Investigate molecular adsorption, surface reconstruction and site-dependent
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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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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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validation in rodent migraine models Close collaboration with computational protein engineers and clinical researchers Data analysis, manuscript preparation, and supervision of students where relevant