57 parallel-computing-numerical-methods-"Prof" Postdoctoral research jobs at Technical University of Denmark in Denmark
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Job Description Do you want to do research on cutting-edge machine learning methods? If you are building a career as a researcher in machine learning and are passionate about working with cutting
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. The candidate will collaborate closely with team members to develop novel quantum computing algorithms that leverage hybrid detection methods and explore the potential of 3D cluster states for enabling fault
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mammalian cell culture in two and/or three dimension Ability to perform biochemical and imaging methods Strong analytical skills
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DTU Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design
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index and broad transparency region. You will be supervised by Associate Prof. Andrea Crovetto, and will work closely with LightTrap colleagues at DTU Compute and DTU Physics. It is very important that
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) and geochemical speciation calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties
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challenges, particularly in low- and middle-income countries (LMICs) where surveillance systems are often limited or lacking. Traditional laboratory-based methods, widely used in high-income countries