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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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group dedicated to protein-based solutions for sustainable development. Responsibilities and qualifications The overall role of the position is to lead and drive an innovative research group focused
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focused on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism
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position as a senior researcher if given a positive academic assessment at the end of the tenure track process. The position aims to develop new approaches, methods, databases and tools to assess and
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create a closed loop pipeline able to rapidly design binders to any target and optimized for developability. The program is rooted in DALSA (DTU’s Arena for Life Science Automation), a new
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perhaps you are our new researcher You will develop analytical methods to quantify the individual vitamers, as well as precursor and degradation products. You will evaluate content of vitamins and nutrient
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implied, the RIGOLETTO project will prepare the way for further exploiting the potential of RISC-V ISA (instruction set architecture) as a key technology to address the demands in the context of future
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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Job Description Are you up for the challenge of joining a highly ambitious research group involved in a joint project with international academic and industrial partners towards developing scalable