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directly with the program lead, Prof Rose McCab, Dr Alexandra Bakou (Trial Manager) and Maria Long (Trial Manager) in the School for Health Sciences, City, University of London.. The post will be based
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provide support to the PI (Asst. Prof. Kean J. HSU) and other project team members on overall research administration for the projects, including coordination of research staff and trainees based on a lab
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learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. At least 3 semesters of FIU work experience or related experience outside the University with
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candidate may be employed at Grade E or Grade F depending on qualifications. The project is led by Prof. David Crundall. You will work with a small team to help create and validate our training course, and
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: £38,482-£43,259 per annum, including London Weighting Allowance Job ID: 118787 Close Date: 22-Jul-2025 Contact Person: Prof Catherine Evans Contact Details: Catherine.evans@kcl.ac.uk
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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques
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in Cardiff to accelerate the research along the impact pathway. The research is part of a multi-disciplinary collaboration led by Prof Elaine Ferguson (School of Dentistry), Prof Dipak Ramji (School
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this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Assoc. Prof. Bastien Llamas Group Leader
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Prof. John Cryan, with APC Microbiome Ireland, which addresses the communication between the brain and the gut, and how it can be influenced by the gastrointestinal microbiota. We aim to investigate