48 parallel-computing-numerical-methods Postdoctoral positions at Technical University of Denmark in Denmark
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advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to disseminate
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estimation. Performing experiments to investigate synthetic samples, field samples, and samples from other projects in the program. This will require a well-established connection to other projects. Co
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methods to enhance the understanding of the Greenland Ice Sheet, peripheral glaciers, and their contribution to sea level rise using finite element models such as the Ice-sheet and Sea-level System Model
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Job Description Are you interested in materials science and human biology? The TMAT group at DTU Health Tech is offering two postdoctoral positions within new materials and methods for micro
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in analytical methods for protein quantification and functional property characterization. Excellent teamwork, communication, and collaboration skills in interdisciplinary research environments. We
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sustainable technologies, methods and solutions, and to disseminate this knowledge to society and future generations of engineers. The Department has approximately 300 staff from more than 30 nationalities
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
electrochemical testing by means of various voltametric methods and electrochemical impedance spectroscopy. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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consumption as well as the flexibility that they can provide to the system. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competences within computational
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collaborative effort, internally within experimental groups at DTU and externally with other leading universities. CatTheory has a strong infrastructure and computational facility. Responsibilities and
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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