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                Leuven for doctoral studies.• produce a complete and acceptable doctoral thesis proposal.• conduct this study autonomously under the guidance of the supervisors, and in collaboration with a postdoctoral 
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                immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore 
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                disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics 
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                the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying genotype–phenotype 
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                Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Bonus but not required Experience in imaging or spatial omics data 
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                highly motivated by applied research involving conceptual evaluation as well as experimental evaluation by means of prototype implementations, able to work well in a diverse group, comfortable giving and 
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                assistants, doctoral students, postdoctoral researchers, clinicians, professors). LanguagesENGLISHLevelGood LanguagesDUTCHLevelBasic Additional Information Benefits You will be appointed and paid as PhD 
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                voiding behavior in mice and developed live imaging techniques to visualize sensory signaling in the bladder wall and dorsal root ganglion (DRG) neurons. In addition, we explore these pathways in human 
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                adults, significantly impacting quality of life, and remain challenging to treat. Our research group has pioneered innovative methods to study voiding behavior in mice and developed live imaging techniques 
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                FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Who you are Ph.D. in Electrical Engineering, Physics, Photonics, or a related field with postdoctoral or industry experience preferred. Strong