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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate (Multiple Vacancies) Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RWJ
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and conduct complex in vivo and ex vivo experiments focused on fibroblast biology, ECM remodeling, and tissue mechanics using advanced mouse models. Apply histological, imaging, and molecular approaches
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: ALPS Area of research: Scientific / postdoctoral posts Starting date: 13.03.2026
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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-documents/400-series/0486.1-BOrder-a/@@images/file We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://bnl.wd1.myworkdayjobs.com/Externa/job/Upton
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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computational analyses of large -omics datasets. Some of the techniques we use include standard cell and molecular biology techniques, flow cytometry, microscopy (standard imaging and FRET, FLIM, FRAP), high
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural