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Knowledge-guided and Lifelong AI for Data Learning and Decision-making in Agroecosystem
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are knowledge of qualitative methods and advanced knowledge of quantitative research methods and experience of work psychology. International collaborator(s) The successful candidate is offered a unique
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Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). CADASIL is a devastating genetic disorder characterised by recurrent strokes, cognitive decline, and other neurological symptoms, with
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success in the German and/or EU market context. The successful applicant must have strong quantitative, statistical, and analytical skills. Demonstrated knowledge of Python and Machine Learning techniques
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Developing a clinical pathway to support nurse led whole genome sequencing for neurological diseases
Dravet syndrome and access to Tofersen in SOD-1 linked motor neuron disease (MND). A genetic diagnosis can also inform prognosis (e.g. cognitive decline in GBA1 associated Parkinson’s disease) and family
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works and receive mentoring in developing their academic skills and knowledge. How to apply Follow the link below to read our application guidance and apply for the scholarship. Apply now Funding Notes
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purpose of this project is to understand how intracellular cryptococci are protected from anti-fungal therapy and use this knowledge to propose changes to anti-fungal therapy to improve treatment
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control and hence, there is a real and urgent need to do better. HNRNPs including HNRNPU are linked to various diseases and knowledge gained from this proposal will be more widely applicable to all RNDDs
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device and drug manufacturers. We are looking for applicants who are eager to develop new skills and apply their existing knowledge. The project requires a good level of mathematical and solid mechanics
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with an existing right to work in the UK (e.g. British or Irish citizens, EU citizen with settled status, etc.). Knowledge and skills required: * The student should be comfortable and motivated with