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deep learning, generative models, or biomedical imaging/omics data Strong programming skills (Python, PyTorch, etc.) A commitment to interdisciplinary collaboration and impactful research How to Apply
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placement locations. Advanced metaheuristic optimisation algorithms, implemented in Python and interfaced with DIgSILENT PowerFactory, will be developed to determine the most effective PST locations and
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(essential), Modelling and resource analysis (essential), Use of Python, Matlab or other appropriate programming languages (essential), Familiarity with building and construction (desirable). Collaboration and
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and/or Geographical Information Systems (GIS), and be keen to learn new methods. The University of Birmingham is providing full funding for this project for a UK student. International students should
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relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
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dashboard with geospatial GIS data and supervise junior staff in this area. To be considered for the role you will hold a Ph.D/D.Phil in Population Health, Demography, Spatial Epidemiology, Geography
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an opportunity to network and get feedback on their work. Student profile: Some experience in data analysis would be very helpful, as would a working familiarity with a programming language (e.g. Python, R
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reports, publications, and follow-on funding proposals The Person • Experience with embedded systems (e.g., Raspberry Pi, ARM Cortex, microcontrollers) • Strong programming skills in Python, Verilog
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. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
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(e.g., Python, or MATLAB, or C++; knowledge in ROS). Interest in robot control, learning, manipulation, and task planning. Preferred Experience with robotic hardware or simulation tools. Publications in