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mechanisms underlying human memory, spatial navigation, and cognition. The Staff Scientist will collect intracranial brain recordings from neurosurgical patients, analyze neural signals for oscillatory
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offer will be for a one-year term, with the possibility of annual renewal contingent upon performance Appointment Start Date: February 1st, 2026 (flexible) Group or Departmental Website: https
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modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific departmental
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Job Description Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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-term in situ and remote sensing data analysis coupled with ecosystem modelling approaches (for instance, greenhouse gas fluxes and energy, water, and nutrient exchange data). Key focus will be
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-term in situ and remote sensing data analysis coupled with ecosystem modelling approaches (for instance, greenhouse gas fluxes and energy, water, and nutrient exchange data). Key focus will be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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phenomena that operate on a cellular scale. Faculty research employs a combination of advanced microscopy, genetic analysis, and molecular characterization to study the temporal and spatial mechanisms
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Texas and the Gulf Coast region. Experience with geospatial analysis and spatial database management, and related tools and languages (e.g., GDAL; PostgreSQL/PostGIS). Responsibilities Data Strategy and
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of phototrophs to environmental change Developing quantitative tools for the analysis of plant microbiome systems data, including but not limited to, machine learning, metabolic modeling (e.g. flux-balance models