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Field
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cognitive agent embodied in a humanoid robot Unitree G1 which will collaborate with a human partner to solve a spatial problem (e.g. 3D puzzle). The tasks to be carried out are: (i) scene understanding
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 19 days ago
) instruments into the GEOS model for its near-real-time aerosol forecast known as the GEOS Forward Processing (GEOS-FP) system as well as in its various reanalysis systems (e.g. Modern-Era Retrospective Analysis
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and spatial transcriptomics and epigenomics. More details: https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ Candidate profiles We are seeking highly motivated
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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of spatial transcriptomics and image analysis software for segmentation Experience in working collaboratively as part of a team Downloading a copy of our Job Description Full details of the role and the skills
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. The sectoral project KINETICS will explore methods to couple long-term integrated assessment models (IAMs) and spatially and temporally granular energy system models (ESMs) bidirectionally, allowing us to
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with or managing research activities, and preparing reports. Strong skills in statistical analysis and handling large spatial and temporal datasets. Good communication skills for collaboration within
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research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: Either spatial analysis using GIS or disease modeling in R and/or
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-on experience in gastrointestinal physiology, immunology, inflammatory diseases, or stem cell biology. Experience in molecular and cell biology, flow cytometry, FACS cell isolation and analysis. Experience
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models, flow cytometry, confocal microscopy and unbiased approaches such as single cells transcriptomics, spatial transcriptomics and epigenetics to characterize molecular and cellular mechanisms. Using