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workflows. (Preferred) Basic skills in microscopy image analysis and quantitative data processing. To Apply Applicants should submit: A CV including publications A cover letter describing relevant experience
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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Sciences / for Finance and Research Projects at the Adam Mickiewicz University, Poznań announces a competition for 2 positions of: Researcher Assistant at the Center for Development of Gene Therapies TREAT
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processing defects. The work aims to identify and validate transcriptomic changes, potential drug targets and biomarkers, and to develop and optimise neuronal models to characterise disease mechanisms. You
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will design, test and optimise antisense oligonucleotides to alter RNA processing defects, contribute to data analysis and interpretation with support from bioinformatics and imaging teams, and assist in
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Position Information Posting Number: 20260014V Position Title: UG Research Assistant
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network of academic, industry and professional partners and stakeholders proven experience supervising and mentoring others strong skills in research, planning and organisation, computer literacy, effective
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(kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis. The Herman B Wells Center for Pediatric Research