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programs such as MS Word, Excel, and Google Docs. Familiar with basic molecular biological, cell biological, and biochemical techniques. Able to work under general supervision and proceed alone on regular
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solid understanding of data science approaches including deep learning prediction and classification models. What we can offer you This role offers excellent training in computer vision and machine
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multi-modal image registration, based on state-of-the-art machine learning approaches. The developed methods will be applied for ultrasound-based navigation in a novel ultrasound engine designed to drive
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Hartley) in the Department of Psychology at New York University is currently seeking a full-time Junior Laboratory Associate to work on studies examining learning, memory, and decision-making across
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computer laboratory tailored for image processing, simulation exercises, and tutorials. The Role We are seeking an enthusiastic and innovative Diagnostic Radiographer to join our department with
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development using highly interdisciplinary approaches grounded on stem cell biology, genome editing, tissue engineering, gene expression analysis, and quantitative high resolution imaging analysis. The ideal
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
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utilizes a widely available diffraction-limited spinning disc confocal microscope (although not limited to this modality) for imaging. A single-step, machine-learning based approach is then applied
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. Experience in machine learning methods is also required. Additionally, it is critical that the individual has experience in working with epilepsy patients, data collection via the NeuraLynx iEEG system, data
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. Machine learning, computer vision, computer graphics, and statistical analysis. This position is eligible for LBNL’s Employee Referral Program benefit(s). Want to learn more about working at Berkeley Lab