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of existing ones for scientific applications; (ii) Large Language Models (LLMs) and multi-modal Foundation Models (iii) Large vision-language models (VLM) and computer vision techniques; and (iv) techniques
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record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
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case you have more than one file per field you need to combine the pdf-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files
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for preclinical imaging with opportunity to gain a variety of translational research skills, including advanced image processing, data analysis, and novel imaging techniques, such as MRguided Focus Ultrasound
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of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging
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are looking for a postdoc to lead the translation of optical neuroimaging technology for neurosurgical applications. The postdoc should have experience developing optical instrumentation. Experience in image
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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/near-IR telescopes using cutting-edge instruments such as the Keck Cosmic Web Imager. We encourage applications from all who have interests, skills, and experience in galaxy evolution, CGM astrophysics
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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related field, strong computing/programming and communication skills, and previous research experience in (I) at least one of 1) statistical genetics/genomics/omics, 2) neuroimaging or medical imaging, and