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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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required Experience with clinical trials Experience with data analysis Experience with RedCAP Experience with large-scale data, such as genomics and transcriptomics data Programming experience, preferably in
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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Networks, and ICT Services & Applications. Your role The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in
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the developmental programs that shape inhibitory circuits in the brain. We use various interdisciplinary techniques such as mouse genetics, high content imaging, single cell RNA sequencing, and spatial
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collaboration with the candidate, a detailed research plan will be drafted aiming to unravel mutational robustness and evolvability in Escherichia coli. The work will involve genome editing (CRISPR), genetics
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sciences cluster in Flanders. The VIB Technologies program constitutes the centralized scientific research infrastructure of the institute and allows scientists access to high-end and innovative
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relations and in interaction with organizations, to gain insight into computer-mediated communication, its applications and effects, and to pursue evidence-based communication strategies, instruments and
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of material science and industrial application. The successful candidate will be responsible for: Developing an experimental strategy for investigating the main parameters influencing the weld quality between
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this specificity and test how these regulate structure and function of higher-order thalamocortical inputs in cortical circuits. The applicant will use various technologies, including super-resolution imaging