252 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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Code. This will include the carrying out of the highest standard of individualised patient care and ensuring that all documentation is accurate and comprehensive. As well as participating in the clinical
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, open code, open educational resources and practices that support replication. Desirable: F1 Experience of estimating uncertainty (such as Aleatoric and Epistemic Uncertainty) in Deep Neural Networks. F2
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be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/blpapdpth More about the project: Project Title:Dissecting the body-wide spatio-temporal organisation of human resident T
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to the discipline, through open data, open code, open educational resources and practices that support replication. Experience Essential E1 Experience of making distinct contributions to identifying and pursuing
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innovation, research methods, systematic literature reviews, ethics and integrity, and research impact Technical training e.g. scientific computing, coding, materials and devices, prototyping and product
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emerging offshore wind sector needs. You will receive in-house training on multiphase DEM–LBM modelling and code development using the HYBIRD framework within the Geotechnical Engineering Group. Additional
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are seeking ambitious, innovative individuals to join our dynamic team. To find out more about our group and research, visit: https://www.ncl.ac.uk/engineering/research/electrical-electronic-engineering
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/engineering https://hecustom.eu/ Street Edgbaston Postal Code B15 2TT E-Mail a.r.beadling@bham.ac.uk m.g.bryant@bham.ac.uk STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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conducting research using large-scale routine or registry data, preferably in cancer. High-level proficiency / experience developing reusable analytical pipelines or modular code (in R, Stata, or Python) with