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want to hear from you! Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant
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, including plant material, seeds, and related documentation collected from field, nursery, and laboratory settings in accordance with established protocols and permit requirements. Uses statistical methods and
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. The lab works in an interdisciplinary environment and collaborates closely with computer scientists, biostatisticians, data scientists, pain scientists, and other researchers. This position is well-suited
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-depth expertise in Computer Vision and Photogrammetry. - Mastery of state-of-the-art Neural Rendering (NeRF, NeuS, SDF). - Knowledge of Photometric Stereo methods. Operational Skills: - Advanced
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: chemical sciences Vacancies/positions:1 Type of contract: full time Application deadline: February 12, 2026 Estimated date of the contest settlement: February 2026 Envisaged job starting date: February 2026
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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for hematological and solid cancers. Your position The successful candidate will have the opportunity to work with cutting-edge experimental methods, including CRISPR-Cas9, single-cell RNA and ATAC sequencing
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assemble in infected cells and selectively package their RNA genomes. More information about the lab and their work can be found by visiting https://www.hhmi.umbc.edu . About the Postdoctoral Scientist role
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teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern
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of novel indoor localization and tracking methods, algorithms, and systems ? Evaluating the performance of such methods, algorithms, and systems via modeling and simulation ? Performance evaluation via