Sort by
Refine Your Search
-
Country
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- Stanford University
- Yale University
- Delft University of Technology (TU Delft)
- Harvard University
- Bar Ilan University
- Bundesanstalt für Materialforschung und -prüfung (BAM)
- ETH Zürich
- Forschungszentrum Jülich
- Lunds universitet
- Northeastern University
- SUNY University at Buffalo
- Singapore-MIT Alliance for Research and Technology
- Stony Brook University
- TTI
- Texas A&M University
- The Extreme Light Infrastructure ERIC
- Tufts University
- University of Arkansas
- University of California
- University of Florida
- University of Washington
- 13 more »
- « less
-
Field
-
acquisition, signal processing, and data analysis for pilot studies and clinical validation. 7, Perform other duties and responsibilities as assigned. Requirements 1, Ph.D. in Mechanical Engineering, Biomedical
-
with environmental/scientific datasets (cleaning, processing, analysis, synthesis). Strong programming skills, especially Python (or comparable scientific programming). Experience with LLM-assisted
-
on research topic that may be presented to small and/or large groups. Actively participate in the preparation of required technical progress reports to research sponsors. Data management Harmonizing phenotypes
-
or program datasets. Proficiency in statistical programming and data analysis tools: R, Python, Stata, or SAS SQL/database management preferred. Ability to clean, harmonize, and analyze complex datasets from
-
. Experience with spatial analysis and geospatial data integration, including use of GIS tools (e.g., ArcGIS, QGIS) to link, harmonize, and analyze datasets across spatial scales. All positions are security
-
domain-specific foundation models that support tasks such as forecasting, interpolation/extrapolation, downscaling, and “what-if” scenario analysis relevant to climate-related health risks and adaptation
-
meetings. The postdoc will conduct cross-cutting integrative research to aggregate and harmonize the campaign’s extensive suite of remote sensing and field datasets and use these to answer questions about
-
-centered behavioral mapping and on-site observation. Help develop harmonized data collection, integration, and analysis protocols ensuring consistency and interoperability across pilot sites, in line with
-
, seasonal) scales, combining sensor-based data with human-centered behavioral mapping and on-site observation. Help develop harmonized data collection, integration, and analysis protocols ensuring consistency
-
utility-facing geospatial toolkit through data science and partnerships with grid operators. Duties and Responsibilities ● Develop a scalable data science pipeline to harmonize and link detailed information