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handling high-dimensional, single cell or spatial data. Interest in interdisciplinary work combining AI and cancer biology. Proven track record of scientific publication. Demonstrated experience in
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genomics and spatial transcriptomics); advanced live-cell or super-resolution imaging; computational modeling of developmental trajectories; and the engineering of advanced in vitro models (such as stem
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secured funding support for ~2 years. The goal of this project is to design and develop spatially explicit decision support tools and assist with updating an Implementation Plan to identify and prioritize
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visualization. Data management responsibilities will focus on adhering to a data management protocol to maintain and expand the large sets of spatial and tabular data that are utilized by the NJADAPT and OEM
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ESPCI Ecole supérieure de physique et de chimie industrielles de la ville de Paris (PSL) | Paris 15, le de France | France | 2 months ago
ultrasons laser sans contact constituent un outil unique pour générer et mesurer des ondes élastiques dans un guide d'onde. Nous proposons d'utiliser une source laser contrôlée par un modulateur spatial de
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Neuroscience covers Phase 1, whose primary goal is to build an innovative spatial audio device and design the behavioral protocols required for auditory categorization studies. The core technical goal is to
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chemical screens, single cell and spatial transcriptomics, proteomics, lipidomics, genomics, optogenetics and histology. Among the key duties of this position are the following: Undertake bioinformatics
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atmospheric chemistry transport models to simulate the spatial distribution of ultrafine particles and use geostatistical interpolation tools to produce very high resolution concentration data. You will work
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learning, physical AI, and spatial AI. The RA will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision
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, UK, to work on building machine learning and AI models for perceptual quality prediction of spatial music. The post is funded by a leading industry partner. The focus will be to develop machine