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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to the contact on the job posting. Application Materials Required: Further Info: http
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State University of New York University at Albany | Albany, New York | United States | about 10 hours ago
, AI, and quantum information processing. Requirements: Minimum Qualifications: A terminal doctoral degree (PhD or equivalent) in physics, computer engineering, or related field from a college or
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the Apply Now icon on this page or visit Faculty Lecturer Positions or https://careers.calstatela.edu . Please address all questions to the department chair, Kathryn Hillstrom, at: kgraves@calstatela.edu
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potential and rapid career development opportunities. Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/134887 Requirements Specific Requirements Profile Master’s degree/Engineer
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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of manuscripts and center-related grant proposals as needed • Keep up with scientific literature relevant to new instrumentation, data processing, specimen preparation and imaging techniques. Must have
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technologies in industry and facilitates technological innovation and knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering
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The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence | Hamburg, Hamburg | Germany | 2 months ago
in either ultrafast physics, optical tweezer technology, or in charged particle analysis, particularly in combination with velocity-map-imaging spectrometers or ion microscopes. Experience in