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The Pilgrim Group is seeking a highly motivated and talented researcher to join our team (https://www.thepilgrimgroup.co.uk/). This post is funded by Dr Ben Pilgrim’s Royal Society University
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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PeacePlus project (Acronym: CliBeef) focused on reducing methane emissions from grazing suckler beef systems (https://www.seupb.eu/latest/news/eu65m-peaceplus-funding-awarded-collaborative-innovation-projects
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organisational and time-management Strong communications skills as this post will be dealing with a wide range of colleagues For further information about this position and to apply, visit http://jobs.sgul.ac.uk
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on LERO case studies and Delphi study to prioritise outcome measures). https://www.fundingawards.nihr.ac.uk/award/NIHR174454 The posts will be based at the Department of Applied Health Sciences
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research team on the Leverhulme Trust project Explicating Singularity Resolution: From Black Holes to Quantum Cosmology, led by Dr Karim Thebault (https://philosophyofphysicsbristol.org/explicating
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a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-10144. To apply, please upload a current
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on the Leverhulme Trust project Explicating Singularity Resolution: From Black Holes to Quantum Cosmology, led by Dr Karim Thebault (https://philosophyofphysicsbristol.org/explicating-singularity-resolution
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the tailoring and adaptation of programme protocols. For more information on Peninsula Medical School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess