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Field
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software in support of Department of Energy (DOE) mission applications across a broad range of scientific domains, including materials, biology, physics, and nuclear science. The successful candidate will
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schools, doctoral supervision, and software outputs central to the Centre’s mission. About You You will have, or be close to completion of, a PhD/DPhil in Statistics, Machine Learning, Data Science, or a
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m) to develop a sustainable, next-generation manufacturing facility, using
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. Gross salary per year: 35.000 €. Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50423 Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Skills
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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Description: The RevEl project aims to replace PTFE-based dry binders with fluorine-free nanocomposites that combine mechanical robustness during battery operation with controlled debonding-on-demand at end
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with large-scale neuroimaging and multimodal datasets. You will design and conduct neuroimaging analyses, coordinate data processing pipelines, and perform advanced statistical and computational analyses
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, layout generation, nanofabrication, laboratory characterization and application development. Experiment automation, measurement optimization, hardware and software development for collection and processing
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R