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neuroimaging data in combination with brain tissue, to answer the following objectives: To ascertain which advanced neuroimaging modalities (e.g. multi-shell diffusion outcome measures) is most sensitive
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the University of Groningen, Utrecht University, Eindhoven University of Technology, Shell, Akzo-Nobel, Nouryon and BASF). As Assistant Professor with a focus on research you will have the opportunity to develop
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, Shell, Akzo-Nobel, Nouryon and BASF). As Assistant Professor with a focus on research you will have the opportunity to develop your own research line and research group, contribute to our English-taught
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industrial cooperation with other CBBC partners (from the University of Groningen, Utrecht University, Eindhoven University of Technology, Shell, Akzo-Nobel, Nouryon and BASF). As Assistant Professor with a
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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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processing pathways to electro chemically upcycle pyrolysis carbons into value added graphene(oxide) colloids. Your PhD project is part of a larger collaboration between TU Eindhoven and Shell on
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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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understanding of the GNU/Linux operating system (RedHat and Debian based systems). You have experience with NFS, Firewalls, Account management, Bash/C Shell, Virtualisation, Python and C. You are comfortable with
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, Firewalls, Account management, Bash/C Shell, Virtualisation, Python and C. You are comfortable with fundamental command-line tools such as ssh, vim, find, awk and grep. You like to grow and are willing
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comprises influential entities such as Shell, Prodrive, DAF, DAMEN, Scholt Energy, Firan, ElaadNL, Dynniq Energy, and TNO. Within the CEH project, you will play a pivotal role in advancing our understanding