359 computational-physics-"https:"-"https:"-"https:"-"https:"-"INRAE" Postdoctoral positions in United Kingdom
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literacy and managing online behaviours over the past two decades. We are looking for an individual who is interested in carrying out the project’s research programme under the supervision of Dr Ekaterina
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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) Essential selection criteria: Relevant PhD/DPhil (or be near completion), in engineering, physics, mathematics, or similar, together with relevant experience Strong background in mathematical optimisation
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to contribute to the ‘Biological Nitrogen Fixation’ program. This initiative seeks to engineer biological nitrogen fixation into widely grown crop plants to improve yields and reduce global reliance on synthetic
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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of future research proposals. Skills, Experience & Qualifications Needed PhD in an appropriate subject area (awarded or submitted). Proficiency in Python for scientific computing, including basic scientific
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, 12 Mansfield Road, Oxford, OX1 3TA and Rodney Porter Building, Sibthorp Road, off South Parks Road, Oxford, OX1 Application Process Applications for this vacancy are to be made online and you will be
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effective verbal and written communication skills with all levels of staff and an ability to operate effectively in a demanding and collaborative research environment. Application Process You will be required
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such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social
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Assessment (HTA) Programme. This post will be based in the Department of Primary Care and Mental Health within the Global Mental Health Research Group and the Liverpool Review and Implementation Group (LRIG