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Field
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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their relationship with treatment responses and disease activity. This is an excellent opportunity to contribute to a collaborative research program dedicated to improving our understanding of ALS and informing future
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, qualitative and creative research methods, this research is deepening understanding about the complex psychosocial, cultural and familial processes that influence farm women’s health and well-being across
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/international conferences and communicate complex information to specialists and within the wider academic community. 7. Experience in computational and theoretical chemistry, including at least one of the
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projects. Strong proficiency in the following areas, and the ability to integrate them into complex workflows: Computational design and 3D/4D modeling (e.g., Rhino/Grasshopper, Phyton, Unity, Blender). Point
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United Kingdom Application Deadline 7 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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About the Role We are seeking an experienced and highly motivated senior postdoctoral researcher in computational biology. The successful candidate will join a multi-disciplinary team working in
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of diversity throughout our staff and students. The Role A Postdoctoral Research Associate position is available to pursue experimental research in the field of complex magnetism within the Durham Condensed
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to a project at the interface of research, policy, and international collaboration. The PDRA will gain experience in managing a complex bilateral programme, authoring outputs with direct policy impact