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, and/or data analysis, to address topics related to one of: Understanding depth-related plasticity in the physiology and behaviour of mesophotic reef fish. Identifying depth-related changes in
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data analytics, business analysis and/or informatics knowledge and skills to undertake this project, with an interest in process innovation. Prior experience in analysis-related roles within sport
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an international supervisory team. Depending on your current and desired skills and interests, your PhD will combine fieldwork, lab-work, and/or data analysis, to address topics related to one of: Understanding
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for experiments using reinforcement learning, Bayesian methods, image analysis and data analysis. Collaborate with interdisciplinary teams, including machine learning experts, device modelling specialist
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, tensile/fatigue testing). Residual stress analysis (ex‑situ and in‑situ) and correlation of experimental data with numerical simulation results. Development of numerical and multi-scale simulation models
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mass spectrometry. Training on data analysis including relevant image analysis software, statistical analysis including graphpad prism and R and flow cytometry analysis using FlowJo will also be provided
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. · Analyze data, document findings, and contribute to lab publications. · Participate in regular lab meetings and discussions Required Qualifications at this Level Education/Training: Ph.D. in neuroscience
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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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microscopy and traction force microcopy, as well as data analysis, development of theoretical models, and preparation of data for presentations and publications. We are looking for a motivated candidate, who
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engineering or a related field; strong skills in data analysis, machine learning or computational modeling, preferably applied to neuroimaging data; experience with programming and data analysis (e.g. Python