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Job Description We are searching for an excellent, ambitious, and driven experimentalist for a 2-year postdoc position to drive a project aiming to develop resource-efficient programmable photonic
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to the air. This project aims at developing analytical methods and capacity to sample and quantify volatile PFAS compounds and air emissions from Danish landfills and treatment plants. The project is carried
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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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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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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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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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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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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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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