Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- CNRS
- Rutgers University
- The Ohio State University
- National Aeronautics and Space Administration (NASA)
- Leibniz
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Stanford University
- University of North Carolina at Chapel Hill
- University of Oslo
- University of South Carolina
- VIB
- ;
- ASNR
- Aalborg University
- Aarhus University
- Argonne
- Copenhagen Business School
- Copenhagen Business School , CBS
- Delft University of Technology (TU Delft); Delft
- Duke University
- Eindhoven University of Technology (TU/e)
- Embry-Riddle Aeronautical University
- FAPESP - São Paulo Research Foundation
- Faroe Marine Research Institutes
- Forschungszentrum Jülich
- Genentech
- George Washington University
- Imperial College London
- Institut Pasteur
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Northeastern University
- Oak Ridge National Laboratory
- Pennsylvania State University
- RIKEN
- Technical University Of Denmark
- Technical University of Munich
- Texas A&M University
- The University of Arizona
- The University of Iowa
- Umeå University
- University College Cork
- University of California Irvine
- University of London
- University of Lund
- University of Oxford
- University of Reading
- University of Virginia
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Virginia Tech
- 42 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and
-
, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming
-
single-cell profiling and predictive artificial intelligence models, you will engineer synthetic promoters controlling context-specific gene expression in Arabidopsis. You will develop high-throughput
-
and localization of a potential fault using the Matched Field Processing (MFP) method, based on the reconstruction of a response model of the inspected structure from the modal parameters predicted by
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
, through developing predictive models and new experimental methods and instrumentation, to design creative and cost effective CO2 trapping processes. The need is urgent, the task is challenging and a
-
predicts battery performance and properties from fabrication line measurements. About you Hold (or be near completion of) a PhD/DPhil in Control Engineering or a related subject, with the possibility
-
thermal and/or thermochemical energy storage systems. Implementing and validating advanced thermodynamic models for performance prediction and optimization. Collaborating with experimentalists and industry
-
very low; Propose characterisation of the soil properties collected from different studied farms; Test how to Improve soil organic carbon content using organo-mineral resources under controlled condition
-
/or high-temperature heat pumps based on power cycles. Design thermal and/or thermochemical energy storage systems. Implementing and validating advanced thermodynamic models for performance prediction