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creative individuals who are able to leverage the latest experimental and computational technology to develop new research directions reflecting their own interests related to brain development. The lab and
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Your profile described below? Are you our future colleague? Apply now! Education · A PhD’s degree in electrical engineering or a related discipline. Experience and skills · Strong
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-driven analysis. Proven expertise in processing and analyzing fluorescence microscopy data, with hands-on experience in spectral imaging, lifetime data, or multi-channel image datasets. Solid background in
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, Pharmaceutical Preparation, Pediatrics, Stomatology, Nursing, Medical Laboratory Technology, Medical Imaging, Anesthesiology, Rehabilitation Therapy, and Medical Imaging Technology. Among these, Clinical Medicine
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within this project include: Extending DeepRVAT towards non-coding genetic variation Applying DeepRVAT to population-scale single-cell readouts Integrating population data with experimental perturbation
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researcher should have expertise in materials/mechanical/electrical engineering with an excellent understanding of fluid mechanics as well as experience with Arduino/Raspberry Pi programming, 3D printing and
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are now initiating new projects centered around spatial transcriptomics (cosMx technology) and RNA-sequencing to address key questions about coding and non-coding RNAs in cancer pathobiology with the aim
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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://jobs.fsu.edu . If you are a current FSU employee, apply via myFSU > Self Service. Applicants are required to complete the online application with all applicable information. Applications must include all work
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information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both