9 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Goethe-University" PhD positions at Manchester Metropolitan University
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Project advert This PhD will pioneer the first species-level monitoring framework using drone-based multispectral data fused with very-high-resolution satellite imagery (Pleiades Neo), powered by
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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criteria: Knowledge of the molecular basis of ageing, muscle physiology, or the circadian clock. Experience or strong interest in data science, machine learning, or bioinformatics. Exposure to high
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Project advert Modern artificial intelligence (AI) increasingly relies on combining multiple sources of information, such as sound, motion, images, and sensor data, to achieve robust and intelligent
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, schedule experiments, collect and analyse data, present findings and oversee day-to-day running to project. Adherence to Good clinical and research practice guidelines will be required. The successful
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in the course of the disease would result in better outcomes for the patient. We are looking for candidates to research computer vision and artificial intelligence techniques to create an objective
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working with adult participants across a wide age range and develop expertise in advanced biomechanical data collection and analysis techniques (e.g. optical motion capture, inertial measurement
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, clinical or community setting. Core skills include: Familiarity with relevant research methodologies, data management and clinical exercise guidelines. Effective time management, with the ability
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of the candidate Essential: First or upper second class BSc honours degree in a relevant degree such as sport and exercise science, human physiology, data science Experience of working with patients with long-term