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Job Posting Title: Mass Spectrometry Imaging Facility RE/SA V ---- Hiring Department: College of Natural Sciences ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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to process large (tens to thousands of TB) optical imaging datasets. • Develop, apply and deploy data handling pipelines designed to process multimodal imaging data with dozens of imaging channels
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accelerating its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing
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of the facility is 1) high-throughput, high-quality data collection on user-provided ready-to-image cryo grids utilizing either single particle or cryo-electron tomography; 2) use the cryo FIB-SEM system to mill
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X-ray diffraction and even more
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doctoral degree PhD, MD, or MD/PhD in neuroscience, neurobiology, physics, psychology, computer science, electrical engineering, neuroengineering or related discipline, and a track record of federally funded
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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work