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Field
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surface temperature) with eddy flux measurements to scale up findings and develop predictive models of water use efficiency, and c) quantify water use efficiency and its temporal and spatial variability
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approvals, data access agreements, privacy). Required Qualifications Candidates must hold, or be within ~6 months of completing, a PhD (or MD/PhD) in a relevant field — for example human genetics, statistical
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 14 hours ago
, increased storage) Apply geostatistical methods (e.g., kriging) to characterize the spatial heterogeneity of key reservoir parameters (e.g., porosity, permeability) and quantify subsurface uncertainty through
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, immunoblotting, RNA extractions, RT-qPCR . The candidate is expected to be familiar with standard software (MS Office Suite, Adobe Suite, Statistical and Graph Software packages i.e. Graphpad Prism) Ability
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power. The work involves quantifying conflicts and synergies between different sustainability goals in the forest landscape using simulation and optimisation. The analysis will be based on spatially
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mechanisms of sleep and spatial cognition across development. A core research thread – supported by the ERC grant – focuses on how sleep and its neural oscillations shape healthy cognitive development in
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prior work on wastewater samples or water analysis, experience in plant culture and growth, synthesis of quantitative and qualitative data, scholarly review and compiling datasets; statistical and spatial
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» Statistics Medical sciences » Other Researcher Profile Recognised Researcher (R2) Application Deadline 30 Sep 2026 - 21:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job
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, including vision, LiDAR, inertial measurements, and radio signals, to maintain coherent spatial awareness and act reliably under uncertainty. A particular focus will be placed on learning and decision-making
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-seq, RNA-seq, ATAC-seq and spatial transcriptome data. We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding