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Field
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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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to ensure optimal conditions. Glycoprotein Production: Express HIV-1 envelope glycoproteins in mammalian cells. Purify proteins using nickel affinity and size-exclusion chromatography. Prepare samples
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/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience developing optimized modules in C#/C++ within Unity
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solving vehicle routing problems involving variable travel durations is a plus. Experience modeling and solving optimization problems involving maritime settings is a plus. You are a team player with
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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opportunity to contribute to the development of novel strategies for neuronal analysis in health and disease and optimizing new methods. The project is funded by the Motor Neuron Disease Association for 3 years
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The Department of Computing wishes to recruit a Cloud and GPU Infrastructure Manager to be responsible for the administration, maintenance, and optimization of both our internal GPU infrastructure
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system improvements. You will be responsible for ensuring our research systems are configured in the most optimal and user-friendly way and that any associated training and communications will be delivered
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collection, and applied mathematics. Our goal is to make optimal use of past climatic information to better understand Earth’s climate response to various kinds of forcing, focusing on abrupt climate