Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Cornell University
- Stanford University
- University of Washington
- CNRS
- Delft University of Technology (TU Delft)
- Northeastern University
- Aarhus University
- European Space Agency
- Rutgers University
- Chalmers University of Technology
- Maastricht University (UM)
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Princeton University
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- University College Cork
- University of Arkansas
- University of Groningen
- University of Idaho
- University of South Carolina
- University of Texas at Arlington
- Arizona State University
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- KTH Royal Institute of Technology
- NEW YORK UNIVERSITY ABU DHABI
- Queen Mary University of London
- THE UNIVERSITY OF HONG KONG
- The Ohio State University
- University of North Carolina at Chapel Hill
- University of Utah
- Washington University in St. Louis
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Yale University
- ARCNL
- Aalborg University
- Aarhus University (AU)
- Argonne
- Austrian Academy of Sciences, The Space Research Institute (IWF)
- Brookhaven National Laboratory
- Carnegie Mellon University
- Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Durham University
- EPFL
- Empa
- FCiências.ID
- Forschungszentrum Jülich
- Fundació per a la Universitat Oberta de Catalunya
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Institute of Photonic Sciences
- Institutionen för biologi och miljövetenskap
- Instituto Superior Técnico
- Istituto Italiano di Tecnologia
- Johann Radon Institute for Comp. and Applied Mathematics
- KU Leuven
- Leiden University
- Linköping University
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Mossakowski Medical Research Institute, Polish Academy of Sciences
- NIOZ Royal Netherlands Institute for Sea Research
- New York University
- Nicolaus Copernicus Astronomical Center
- RIKEN
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- St Jude Children's Research Hospital
- The University of Arizona
- The University of Iowa
- Umeå University
- Universitat de Barcelona
- Universite de Montpellier
- University College Dublin
- University of Aveiro
- University of Borås
- University of California
- University of California Irvine
- University of California, Los Angeles
- University of Colorado
- University of Copenhagen
- University of Galway
- University of Glasgow
- University of Hawaii
- University of Lund
- University of Luxembourg
- University of Minnesota
- University of Namur
- University of Nevada Las Vegas
- University of Oxford
- University of Pittsburgh, Pittsburgh , Pennsylvania, US
- University of Potsdam
- University of Texas at Dallas
- University of Turku
- 90 more »
- « less
-
Field
-
model biases, and identify sources of predictability. The project will involve; 1) rigorous interrogation of NOAA GFDL's CM4X simulation output with respect to coastal sea level variability and relevant
-
to predict nitrogen (N) and phosphorous (P) excretion, and this was published by Fox et al. (2004). Further, those predictions were refined and improved and partition N and P excretion between urine and feces
-
at the University of Utah (https://www.boschlab.com/) invites applications for a computational post-doctoral position to support projects related to biomolecular interaction prediction using AI tools. The Bosch Lab
-
prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration with industry partners in climate risk assessment
-
computational approaches to uncover mechanisms underlying complex diseases and to develop predictive, clinically actionable models. The successful candidate will work in a highly collaborative environment with
-
University (ASU) invites applications for two postdoctoral scholar positions in the area of mathematical modeling to work with Dr. Nina Fefferman. The first position will focus on modeling dynamics
-
?’, ‘what kind of structural properties does an anti-risk epistemology predict for knowledge?’, ‘do iterations of knowledge accumulate risk?’, ‘should disinformation be understood as information that incurs
-
an intense of microbial activity contributes into the process of stabilization of organic matter; Assess the effects of organo-mineral management on soil biological parameters, including soil fauna; Predict
-
production, recycling and value chain optimisation. The research focuses on applied AI in areas such as sensor data analysis, time series modelling, automation and decision support, with strong links
-
researchers focussing on modelling, estimation and prediction related to battery systems, ranging from details on micro-scale in cells to cloud calculations for fleets of electric vehicles. About the research