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Field
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, capabilities to efficiently collect/organize/analyze data and initiate new/modified procedures/techniques based on the latest developments are expected. Computer Skills N/A Supervisory Responsibilities No
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), optical imaging, micro/nano fabrication (lithography), and related fields. Practical experience in physical/optics experiments, cleanroom technologies for micro/nano structures, and computer programming
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preparing progress reports. Additional duties as assigned. Knowledge, Skills and Abilities: Knowledge of deep learning, machine learning, image processing, and EO/IR and RF signal processing. Strong analysis
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States of America [map ] Appl Deadline: (posted 2025/01/10, listed until 2025/07/10) Position Description: Position Description Multiphysics, Machine Learning, and Uncertainty Quantification Postdoctoral Positions Los
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly talented and
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one of the following domains are highly desirable: deep learning models on natural language processing or computer vision, advanced analysis of fMRI using encoding or decoding models, computational
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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using machine learning and deep learning techniques to generate indicators that allow remote monitoring of restoration. Knowledge of remote sensing (e.g. GEDI, LiDAR, multispectral) and programming (e.g