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quantitative data analyses. The role involves co-ordinating a large study and liaising with clinical participants, so the ideal candidate would have exceptional interpersonal and organisational skills. Further
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 18 days ago
activity of the vast numbers of interconnected neurons in the brain gives rise to the plethora of animal behaviors. Our research spans a large range of scales from the nano-scale imaging of brain circuitry
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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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) Eligibility: UK Students Award value: Home fees and tax-free stipend £20,780 - See advert for details Deadline: 31st July 2025 Project Title: Thermal Energy Decarbonisation of Large Industrial and Commercial
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the ability to simulate the temperature of the canopy-soil system, they provide valuable information on the interactions with the underlying surface. This is particularly important for urban areas where sparse
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Reporting. For any subject-specific queries, please contact Dr Faizul Haque (F.Haque@soton.ac.uk ). Banking and Finance: seeking students with expertise in Big Data Modelling. An MSc degree in Statistics
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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their primary function is to generate renewable energy (at the cost of covering large areas with solar panels), there is growing recognition that solar parks also offer a unique opportunity to restore and enhance
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) workflows for learning from large-scale imaging and molecular data Develop ML models to investigate cellular responses, particularly in cancer cell lines Develop DL models for molecular design based on time