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knowledge of software processing tools such as FSL, FreeSurfer, ANTS, MRtrix, SPM or similar • For applicants with an MRI background, you will be very comfortable writing original shell scripts to run
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stimulating place to conduct research. Literature references & data sources Ascarza, E., & Israeli, A. (2022). Eliminating unintended bias in personalized policies using bias-eliminating adapted trees (BEAT
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knowledge of Python and FORTRAN programming, UNIX/Linux and shell script Knowledge in dealing with server-based computer structures and high-performance computers (e. g. HLRE at DKRZ) Confident handling
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the development of toolboxes, applications and model deployment Experience or interest in working with high performance computational clusters (Linux-based, Shell/Bash) Good skills in spoken and written English
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will be prioritized. Experience with Unix shell scripting is desired. Experience in analyzing single cell, multiomic, and drug response data is desired. Terms and conditions The doctoral student will be
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. Qualified candidates have the following profile: Previous programming experience is required. Experience with deep learning models will be prioritized. Experience with Unix shell scripting is desired
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exploration of industry standards like asset administration shell (AAS) The project will involve relevant use cases from industry and active industry collaboration. The main supervisor of the research is
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pyrolysis carbons into value added graphene(oxide) colloids. Your PhD project is part of a larger collaboration between TU Eindhoven and Shell on sustainability. The overarching goal of this collaboration is
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. Applicants should have a strong computational background with knowledge of shell, R, Python, Perl or another programming language. Knowledge of one or more of the following data-analytical approaches is an
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Apply today for an industry PhD at the University of Adelaide, with Shell Global Solutions. Upscaled Modelling of CO2 Storage in Geological Formations Currently, upscaling of CO2 injection into a