76 parallel-computing-numerical-methods-"Prof" Postgraduate positions in United Kingdom
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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 of Biosciences) and Dr
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The V&A Museum/Royal College of Art’s History of Design Programme (MA, MPhil and PhD) is internationally recognised as a leading centre for postgraduate study in the history of design and material
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rigorous and impactful research building machine learning models; design, analyse and conduct computational simulations; provide guidance in machine learning methods to others in the group where necessary
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This post is part time (5 hours per week) and fixed term for up to 6 months from start date. Job Purpose The purpose of this job is to support Dr Eleanor Kirk (PI) and Prof Ruth Dukes (Co-I
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methods and data analysis relevant for the research programme, including multicolour flow cytometry and imaging technologies. You will have good organisational and communication skills, collaborating both
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-motivation will be essential for this role. For enquiries about this position please contact Prof Richard Stanton (StantonRJ@cardiff.ac.uk). This is a full time (35 hours per week) fixed term post until 30th
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collaborative team led by Prof Alison Hardcastle. Please note this role is not eligible for visa sponsorship. About you The successful applicant should have a BSc or MSc in a relevant subject, experience with
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Project Title Modelling climate risk in the Arctic School/Faculty School of Geography Closing Date 31/05/2025 Eligibility UK Only Funding Home Funded Lead Supervisor’s full name & email address Prof
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. About the role The Research Assistant will work under the supervision of Prof Alice Davidson and Dr Christina Zarouchlioti on developing translationally relevant cell models that will expand our
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• Experience collecting EEG data. • Experience using PsychoPy and Gorilla Skills/Abilities Essential • Demonstrate good verbal and written skills. • Demonstrate good computer skills, including MS Office