236 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" PhD positions in United Kingdom
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experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real
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: Comprehensive personalised Assessment, early Risk Evaluation and clinical management” (HER-CARE) project. The successful applicant will work on the project “Assessing the role of rare germline non-coding genetic
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discipline *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. Expertise in atmospheric physics and chemistry Enthusiasm for coding of complex atmospheric
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having good visibility of how the system and its parts respond to faults, events and trips (unlike the recent Iberian experience). For example, Statkraft is the proposer of Grid Code Modification GC0181
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IrO2. We are looking for a highly motivated independent learner with good coding skills to work with us at the interface of AI and electrochemistry. As a PhD researcher, you’ll work at the forefront
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registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F. select ‘PhD Electrical and
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select ‘‘PhD Mechanical Engineering (full time) - 8090' as the programme of study You will then
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‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F Research Area: Electrical and Electronic
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work. The project will involve: Learning how to express software requirements precisely using formal models. Using these specifications to automatically generate test cases for software systems and code