1,298 evolution-"https:"-"https:"-"https:"-"https:"-"University-of-Liverpool" Fellowship positions
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given to how the applicant’s experience and skills complement and strengthen ongoing research within the department and how they stand to contribute to its future development. Terms of employment This is
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the ability to purchase more), a generous pensions scheme, flexible working opportunities,a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more at
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findings at leading international conferences. Contribute to proposal development and future research directions aligned with PRISM objectives. We are looking for: Ph.D. in Mineral Engineering, Chemical
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UK scientists at Queen Mary University of London, University of Nottingham and University of Glasgow who work on the development of energy efficient, atomically thin semiconductors to dramatically
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helminth parasitology. The Network will: (i) advance scientific knowledge to address global helminth disease and United Nations Sustainable Development Goals; (ii) train next-generation researchers; (iii
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, including ERCs) Flexible working hours Support for further education and professional development Benefits package: 6 weeks of paid holiday, medical insurance, financial contribution to meal and kindergarten
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grounded in a translational mission: to generate biological insights that inform the development of future therapeutics. The Stromal-Immune Group within the Inflammation Therapeutic Area is dedicated
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requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data
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scientific conferences. · Be strongly encouraged to apply intramural or extramural funding for career development. Your qualifications should include: · A M.D. and/or Ph.D. degree in life
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods