248 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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, alongside their application to challenging chemical problems. The group combines pulse sequence design, experimental NMR, and computational approaches, including modelling, AI, and machine learning
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equipment (e.g., 3D scanning, surface inspection). Familiarity with data analysis tools (e.g., MATLAB, Python, or similar) and basic knowledge of machine learning is an advantage. Familiarity with research
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ecosystem services such as carbon storage (1-4). Recent advances in satellite observations and machine learning provide novel opportunities to study extreme fires on a global scale. In a changing climate
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, Chemistry, Physics, Engineering, Mathematics, Computer Science, Data Science, Machine Learning or Artificial Intelligence a minimum 2:1 undergraduate degree (or equivalent) Excellent spoken and written
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, Cryptocurrencies and Machine Learning Why Choose Us? World-class Faculty: Learn from leading experts with publications in top-tier journals State-of-the-Art Facilities: Benefit from access to our bespoke dealing
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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Project title: Towards Greener Wars Supervisors: Dr Saeed Bagheri / Professor Benoit Mayer Project Overview: War and other military operations are responsible for a significant share of global
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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, Src). Develop a machine learning platform to predict regulatory mechanisms in dark kinome targets (e.g., PKMYT1, RIOK1/2). Perform biochemical validation, including recombinant protein expression and
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overuse injuries. Wearable sensors to quantify of the impact and benefit of sleep on the recovery, performance and overall wellbeing of athletes. Using big data and machine learning methods to identify