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, geosciences and environmental sciences, and nanoscience. To support this program, the NSLS-II must design, fabricate, assemble, test, install, and operate unique research equipment to generate, transport
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well as at the Faculty of Health and Medical Sciences: https://healthsciences.ku.dk/research/corefacilities/. Driving Discoveries towards Stem Cell-Based Therapies and Regenerative Medicine reNEW is committed
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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3D multiplexed tissue imaging. BAIR supports users at every stage of the imaging process, from experimental design and sample preparation via in-depth training to developing complex automated imaging
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molecular, cellular and embryological techniques, quantitative imaging, genomics including from single cells, genome engineering and computational biology methods to study development and regeneration, at a
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position in the lab requires high-level technical skills in microscopy and computational image analysis and experience in experimental biological research. Duties and tasks are complex in nature where
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their families. Actively and enthusiastically participates in ensuring the smooth functioning and operation of the program, and participates in UBHC-wide meetings, performance improvement activities
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research in molecular biology, cell biology, genomics, imaging approaches and/or bioinformatics. Postdoctoral Fellow – Banerjee Lab – 00399 Our lab is interested in how the brain accomplishes the ongoing
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, Computational Biology, Biomedical Engineering, Data Science, or a related field. Job Description: This Postdoctoral Associate will join the Computational Microscopy Imaging Lab (CMIL), led by Dr. Pinaki Sarder
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microstructure), and computer science (machine learning and artificial intelligence) to achieve a breakthrough in predictive microstructure imaging with MRI. Within the ADAMI project, you will develop and optimize