70 linked-data Postdoctoral research jobs at Technical University of Denmark in Denmark
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system as a whole, and (f) experimental validation. The role of the AM2PM Postdoc position is theoretical and experimental research that links construction site data collection with life cycle and
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Nordisk Foundation, aiming to establish a potential causal link between the gut microbiome and cardiometabolic diseases (CMD). The research project will focus on identifying and characterizing novel
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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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of catalysts using low dose-rate and dose atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active
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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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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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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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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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validation in rodent migraine models Close collaboration with computational protein engineers and clinical researchers Data analysis, manuscript preparation, and supervision of students where relevant
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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