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; further advanced your skills in numerical modelling and data analysis in python; enhanced your skills to communicate your scientific results to a wide audience including peers, media, and the general public
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interventions. Flexible hybrid working is possible: data analysis and statistical work can be done remotely, with regular on-site meetings for team collaboration and integration with clinical and imaging experts
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future. Within the FOOD-FRAMES project, you particularly… Support in the mapping and analysis of food-related mis- and disinformation within the Dutch food information environment. e.g., contributing
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Mathematical Physics, (2) Pure, Applied and Numerical Analysis, and (3) Stochastics and (4) Discrete Mathematics and Quantum Information. It also provides the lecturers and instructors for the mathematics
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, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical Analysis, and (3) Stochastics and (4) Discrete Mathematics and Quantum Information. It also provides the lecturers and instructors
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generating and characterizing kidney organoids, including functional assays, molecular and imaging techniques. Experience with sequencing and related data analysis for organoid characterization. Strong
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Microscopy Center. The project further benefits from excellent dedicated CPU and GPU computing infrastructure to support large-scale numerical modelling and data analysis. This is a full-time, two-year
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readouts such as Perturb-seq. Experience or familiarity with advanced genome editing methods such as prime editing, or base editing is highly desirable. Experience with bioinformatics data analysis using
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-up, crystallisation, and advanced analytical methods (NMR, IR, MS, PXRD). (Additional experience with reaction engineering, reactor optimisation, python for data analysis is considered beneficial but
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. Demonstrated expertise in qualitative and quantitative research methods, including proficiency in conducting interviews, surveys, and statistical analysis. Proven ability to work effectively within