Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- National Renewable Energy Laboratory NREL
- New York University
- Technical University of Denmark
- University of Groningen
- University of North Carolina at Chapel Hill
- Texas A&M University
- Carnegie Mellon University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Princeton University
- Stanford University
- Argonne
- Cornell University
- ETH Zurich
- Technical University of Munich
- Aarhus University
- Brookhaven Lab
- Chalmers University of Technology
- NEW YORK UNIVERSITY ABU DHABI
- Duke University
- ETH Zürich
- Forschungszentrum Jülich
- Leibniz
- Linköping University
- Yale University
- ;
- CNRS
- Heidelberg University
- Medical College of Wisconsin
- Mohammed VI Polytechnic University
- Oak Ridge National Laboratory
- THE UNIVERSITY OF HONG KONG
- University of Colorado
- University of Oxford
- Wageningen University and Research Center
- Baylor College of Medicine
- Boston University
- Delft University of Technology (TU Delft)
- Durham University
- Heriot Watt University
- Maastricht University (UM)
- Radboud University
- Rutgers University
- SciLifeLab
- UNIVERSITY OF VIENNA
- University of California Berkeley
- University of Cincinnati
- University of Copenhagen
- University of Luxembourg
- University of Nevada Las Vegas
- University of Oregon
- University of Southern Denmark
- University of Texas at Arlington
- University of Texas at Dallas
- Uppsala universitet
- ; CRUK Scotland Institute
- ; Ecole polytechnique federale de Lausanne - EPFL
- ; Nagoya Institute of Technology
- ; University of Copenhagen
- ; Xi'an Jiaotong - Liverpool University
- Aalborg University
- AcademicTransfer
- Amsterdam UMC
- Atominstitut TU Wien
- Austrian Academy of Sciences, The Space Research Institute (IWF)
- Brookhaven National Laboratory
- CWI
- Cold Spring Harbor Laboratory
- Duke University Medical Center
- Emory University
- Florida Atlantic University
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Inria, the French national research institute for the digital sciences
- Instituto de Telecomunicações
- Johns Hopkins University
- KU Leuven
- Karolinska Institutet
- Karolinska Institutet (KI)
- Max Planck Institute for Evolutionary Anthropology, Leipzig
- National Centre for Nuclear Research
- Northeastern University
- Technische Universität Ilmenau
- Technological University Dublin
- Texas A&M AgriLife
- The Ohio State University
- The University of Copenhagen
- The University of Iowa
- The University of Memphis
- UNIVERSITY OF HELSINKI
- Universitat de Barcelona
- University of Antwerp
- University of Arkansas
- University of British Columbia
- University of Central Florida
- University of Cyprus
- University of Florida
- University of Kansas
- University of Liverpool
- University of Maryland
- 90 more »
- « less
-
Field
-
motivated to deliver high quality research Has excellent data analysis skills, including solid knowledge of statistics and machine learning Has hands-on experience with high performance computing and/or large
-
, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
-
: Experience in developing smart city models focused on health and environmental infrastructures. • Advanced Data Analysis: Advanced skills in machine learning, deep learning, and advanced statistics
-
postdocs. Research areas include wireless communication, optical communication, coding theory, information theory, and machine learning. We value diversity and believe that a mix of backgrounds and
-
Postdoctoral Research Associates to support multidisciplinary research on (1) Performance prediction of large-scale concrete dams using machine learning techniques, 2) Fiber-optic sensor-based monitoring
-
for this position will have the following qualifications/qualities A PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in
-
neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred. Demonstrated experience with large
-
or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and applying AI/ML models
-
from real world longitudinal data on management and health outcomes for children with mental health conditions. Methods have included deep learning, large language models (LLM), generative AI models (Gen
-
, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML (Random Forest, SVM, Fully Connected Neural Networks) will be essential