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Field
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analytics - Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and large-scale data analysis Additional Application Materials Required Cover letter CV Research Statement or Relevant
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will
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object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning for deformation
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language processing/deep learning applications to healthcare. They will also lead or assist drafting analytical sections for peer-review publication for various project. Responsibilities will also include participating
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Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level mathematical problems and developing new
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Engineering, Genetics, Immunology, Biology, Systems Biology, Biomedical Sciences, Material Science, Bioengineering, Analytical Chemistry, Bioinformatics or a closely related field in hand by August 2025
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possession of the most advanced analytical research infrastructure, with well-integrated, high-tech prototype facilities. This world-leading infrastructure, will be available to underpin the proposed project
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through their work. You should demonstrate: Strong analytical abilities Excellent organizational and planning skills Effective problem-solving and critical reasoning skills Qualifications: PhD in Economics
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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records