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mathematical modellers and epidemiologists at CERM with strong collaborative links within Singapore and across the wider region. Key Responsibilities: • Collate and analyse data from longitudinal studies
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profile Applicants should hold a PhD in molecular and cellular neurobiology or similar. Experience in primary neuron cultures and rodent in vivo models is necessary Experience with super-resolution
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foundational neural models that learn from large unlabeled image datasets, also incorporating context from additional data such as wireline logs or well reports. You are suited for this position if you are
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electrical/magnetic testing Micromagnetic Simulation and physical modeling Mentoring of PhD and Masters/undergraduate students Job Requirements: The candidate should have a PhD in Physics. The candidate should
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University of Surrey. You will be working on a 5-year project (funded by EPSRC) building digital twin models of a full aircraft engine, running on the UK’s supercomputing services. There will be both
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to compare the genetic architecture of rare vs. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to integrate rare
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ultrasound sensors High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones, in
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neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell culture or animal model systems. Contact Information: Genetics Hire Team
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to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School
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the role, skills, capabilities and experience. You do not need to separately address the Roles Specific Skills, Knowledge and Experience. For further information about this position, please contact Cynthia