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of acaricides, and in vitro models to investigate the transmission of tick-borne pathogens. Job description: Independently conduct a research project focused on the development and optimization of artificial tick
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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
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of gene therapy manufacturing and process innovation. The project focuses on the development and optimization of scalable bioprocesses for viral vector production and downstream purification and
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multiple watershed-scale models, and use these models to better optimize the location of stormwater control measures or understand how green infrastructure will perform at watershed-scale under climate
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range of complex optimization problems. The ideal candidate holds a PhD in Operations Research, Computer Science, Applied Mathematics, or a related field, and has a strong background in mathematical
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and Computer Science at the University of Basel invite applications for a PhD or postdoctoral position focused on Large Language Models (LLMs), including pre-training and post-training. The successful
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focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and
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for interdisciplinary work. The position is based at the Boston campus and is an in-person, experimental role. MINIMUM QUALIFICATIONS PhD in Physics, Chemistry, Biophysics, or a related field Experience in lab-based
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optimization, and crystallisation, we are a multi-disciplinary group with expertise in chemical engineering, organic synthesis, porous materials, and automated and digital approaches. Alongside Prof Slater, you
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preclinical tumour models, depending on experience and relevant training. ● Prepare buffers, media and reagents and maintain commonly used laboratory stocks. ● Contribute to the development, optimization and