851 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" positions in Denmark
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scientific journals Research experience in some of the areas of fungal transformation, CRISP/Cas9 modification of fungal genes, analysis of metabarcoding data, and soil microbiology. Additional qualifications
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on the platform ARTIQ (ARTIQ ) Application deadline The application deadline is the 1st of May 2026 Contact information Further information can be obtained from Michael Drewsen ( drewsen@phys.au.dk ) Formalities
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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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Applicants should have strong experience in one or more of the following overlapping areas: Analog and mixed-signal IC design: amplifiers, references, data converters, sensor interfaces, and power management
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Intelligence, Data Science, Robotics or any other relevant field, prior to receiving admission into this PhD program, i.e., we accept applications from candidates expecting to finalize their studies within
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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in across biomes, species and methodologies. Further information For additional information please contact Head of Section for Aquatic Biology Professor Tenna Riis (tenna.riis@bio.au.dk) (position 1
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at DTU here . Further information Further information may be obtained from Senior Researcher Dennis Christensen, dechr@dtu.dk , +45 20961946. You can read more about our department DTU Energy at
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light-responsive hydrogels for controlled drug release Integrate sensing, delivery, and wireless control into a closed-loop system Perform in vitro and ex vivo experimental validation Analyze data and
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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