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Field
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
analysis from high-throughput sequencing projects, employing in-vitro, preclinical and clinical studies. This position involves designing and executing experiments, data management and analysis, manuscript
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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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and Radiative Transfer models already developed as part of the ANR AGN_MELBa work. This might require running and adapting these models. Then, at a different spatial scale, the multi scale tools will be
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environmental sensor deployment, data analysis, and spatial mapping; Interest in nature-based solutions and working across disciplines; Excellent communication skills and the ability to collaborate with
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
analysis from high-throughput sequencing projects, employing in-vitro, preclinical and clinical studies. This position involves designing and executing experiments, data management and analysis, manuscript
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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for improving the environmental impacts of wood production over broad spatial scales. Required Skills and Qualifications: PhD in a forestry- or conservation-related discipline. Strong background in field survey
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of neurons to become active during spatial navigation, in mice. To this aim, the candidate will investigate longitudinally - by using head-fixed two-photon imaging in combination with cellular labelling
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: Geographic Information Systems (GIS): Knowledge of GIS for spatial analysis, including tools such as ArcGIS or QGIS. Publication & Presentation Experience: Experience in publishing research in peer-reviewed
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, and advanced data analysis. This role is part of a large-scale, multi-institutional consortium study aimed at uncovering novel insights into the genetic and molecular underpinnings of neurodevelopmental