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, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines: Most positions
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implementation of elastomer adhesives Optimization of formulation for 3D printing and 2D printing Contribute to ongoing ionic liquid formation projects Design and prototype and scalable processing Collaborate with
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flying on top of thunderclouds in the Gulf of Mexico and is currently scheduled for summer 2028. Through this project, our group is building an innovative airborne gamma-ray imager, capable of localizing
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… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Your profile PhD degree in physics or similar natural science discipline, signal/image processing, or engineering Interest
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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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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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staining and confocal imaging, RNA-seq. Data analysis, interpretation of experimental outcomes, and preparation of manuscripts for publication Supervise and train junior researchers and contribute
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* Experience in one or more of: AAV/vector biology, in vivo gene delivery, mouse models/surgery, single-cell/spatial transcriptomics, ATAC-seq, microscopy, quantitative imaging, computational analysis (R/Python
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external emails. We are seeking to recruit a Bioinformatician, for an initial period of 18 months, funded by an ARPA-H LIGHT (lymphatic imaging, genomics, and phenotyping technologies) grant, a multicenter
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Program and will work closely with the staff of the Image Collection and Fieldwork Archives (ICFA) to process the Justin Kerr Collection, which consists of photographs of approximately 6,000 unique