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(written and verbal), ability to collaborate effectively. If you would like to be part of an impactful cutting‑edge research project focused on solving pressing challenges of modeling temporal dynamics in
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and
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of compound stability, release kinetics, and bioavailability using simulated feed manufacturing and digestive models. Undertake in vivo validation of delivery technologies in model organisms (e.g. Artemia) and
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research investigating novel treatments for neurodegenerative diseases such as motor neuron disease, particularly through the use of zebrafish, rodent and cell culture models of the disease. You will be
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) in FPGA design, machine learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design
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, stem cell models, and nanotechnology, within a collaborative and innovative research environment. It is an exciting opportunity to be at the forefront of translational cancer research. Key
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, Psychology, or a related field. strong background in computational modelling and/or functional neuroimaging techniques. proficiency in programming languages commonly used in neuroscience research (e.g., Python
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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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Engineering (with bioenergy focus), Environmental Science, Agricultural Economics, Data Science or Modelling (with agriculture or bioenergy focus). Please note: To be eligible for this role you must have no
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, structural design, structural reliability methods and circular economy of built environment, and applications of artificial intelligence (AI) for data mining, processing, and modelling. As the Research