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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital
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Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may also include technique development work aimed at combining imaging
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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be widely implemented in clinical programs. Job description The aim of this position is to develop new chemical methods for the modification of nucleic acids. This includes the design and synthesis
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://mbg.au.dk/en/ What we offer The department/centre offers: a well-developed research infrastructure, laboratories and access to shared equipment an exciting interdisciplinary environment with many national
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DTU Biosustain you will break new ground at the absolute forefront of what is possible, focusing on expression of complex disulfide-containing proteins. In this position, you will develop tools
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- OUH). The overarching goal of this ambitious project is to develop cutting-edge, immune-integrated three-dimensional skin models that accurately mimic both healthy human skin and diseased skin affected
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of the position include: Pursue visiondriven, world-class research as a team that spans across broad linguistic, technical and historical competencies Working in a team that develops new methods in the intersection