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have: Hands-on experience in micro/nanofabrication, preferably including lithography, thin-film deposition, dry/wet etching, lift-off, release processes, or MEMS/NEMS process integration. Demonstrated
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have: Hands-on experience in micro/nanofabrication, preferably including lithography, thin-film deposition, dry/wet etching, lift-off, release processes, or MEMS/NEMS process integration. Demonstrated
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crystal / thin film scattering measurements, exploiting developments in artificial intelligence and machine learning. We also invite candidates with interests in beamline automation and autonomy
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currently work at Cornell University, 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
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biofluid samples Conceive, prototype, and benchmark new computational and AI methods for liquid biopsy, including techniques to bridge to other data modalities, e.g. imaging Apply modern machine learning
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active mentorship for applying to independent fellowships. Access to Cornell's outstanding genomics, imaging, insectary, and computational core facilities, and to a vibrant community of vector biologists
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experience. • Guaranteed funding for the initial appointment, with strong support and active mentorship for applying to independent fellowships. • Access to Cornell's outstanding genomics, imaging, insectary
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., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g., Python, R
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microorganisms or environmental isolates Multi-omics techniques (e.g., transcriptomics, proteomics, metabolomics) Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques Analysis of next