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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations
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. This role will work with a vibrant team of scientists and historians and philosophers of science to carry out text and image processing, extracting relevant information from printed sources, photographs, and
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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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we use include standard cell and molecular biology techniques, flow cytometry, microscopy (standard imaging and FRET, FLIM, FRAP), high throughput genetic and chemical screens, single cell and spatial
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control of this process. This thesis is part of the DROPTECH project, which aims to design an innovative digital test bench, combining high-speed imaging, spectroscopy, and digital modeling, to control
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with 3 force plates, wireless electromyography and accelerometry, inertial measurement unit system with biofeedback capabilities, isokinetic dynamometry, ultrasound imaging with shear wave capability
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to develop workflows for processing, preserving, and managing born-digital and hybrid collections. Responsibilities include digitizing textual and image materials using flatbed and large-format imaging
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applications must be submitted by April 15, 2025. Applications received after the deadline may be considered. To apply: please click the Apply Now icon on this page or visit Faculty Lecturer Positions or https
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programming and software development (Python preferred) Experience with image analysis and/or genomics data analysis Ability to build customized data-processing workflows from raw data to final visualization
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the effective use of technology. We simplify the technology experience for faculty, students, alumni, and staff, and we ensure technology is mobile-friendly and accessible. We identify, manage, and mitigate