Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- ETH Zurich
- Harvard University
- Technical University of Munich
- Oak Ridge National Laboratory
- Pennsylvania State University
- Carnegie Mellon University
- EPFL
- Nanyang Technological University
- Northeastern University
- The University of Chicago
- Virginia Tech
- AALTO UNIVERSITY
- Delft University of Technology (TU Delft)
- NEW YORK UNIVERSITY ABU DHABI
- National University of Singapore
- Stony Brook University
- University of California
- University of Texas at Arlington
- Aarhus University
- Duke University
- Durham University
- Earlham Institute
- Forschungszentrum Jülich
- HHMI
- Rutgers University
- SciLifeLab
- University of Oxford
- University of Texas at Austin
- VIB
- CNRS
- Curtin University
- Fraunhofer-Gesellschaft
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Jane Street Capital
- KTH Royal Institute of Technology
- KU LEUVEN
- King Abdullah University of Science and Technology
- Michigan Technological University
- Monash University
- North Carolina State University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Saarland University
- Simons Foundation;
- Stanford University
- The Ohio State University
- UNIVERSITY OF SURREY
- University of California, Los Angeles
- University of Delaware
- University of Glasgow
- University of Luxembourg
- University of Nevada Las Vegas
- University of North Carolina Wilmington
- University of Oslo
- University of Pittsburgh
- University of South Carolina
- University of Southern California
- Utrecht University
- Yale University
- ;
- ARQUIMEA RESEARCH CENTER
- Aarhus University (AU)
- Argonne
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Baylor College of Medicine
- Blekinge Institute of Technology
- CRANFIELD UNIVERSITY
- California Institute of Technology
- California State University, San Bernardino
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Center for Devices and Radiological Health (CDRH)
- Constructor Knowledge Labs gGmbH
- Cornell University
- Dana-Farber Cancer Institute (DFCI)
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- European Molecular Biology Laboratory (EMBL)
- Fundació per a la Universitat Oberta de Catalunya
- Georgetown University
- Georgia Southern University
- Great Bay University
- Grenoble INP - Institute of Engineering
- Hong Kong Polytechnic University
- Iliad
- Istituto Italiano di Tecnologia
- Johns Hopkins University
- Karolinska Institutet, doctoral positions
- King's College London
- Koç University
- Lehigh University
- MASARYK UNIVERSITY
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Missouri University of Science and Technology
- Mohamed bin Zayed University of Artificial Intelligence
- NTNU Norwegian University of Science and Technology
- Norwegian Institute of Bioeconomy Research
- Oden Institute for Computational Engineering and Sciences
- Purdue University
- Research Center for Molecular Medicine (CeMM), ÖAW
- 90 more »
- « less
-
Field
-
applied statistics, signal processing, and machine learning. Preferred Qualifications: Master's Degree (foreign equivalent or higher) in Data Science with graduate-level coursework in statistical learning
-
the gap between computer science, radiology, and hepatology. You will develop robust and reproducible analytical pipelines and explore state-of-the-art approaches including deep learning, computer vision
-
streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use
-
capabilities for real-time RF machine learning, automotive cybersecurity, and radar threat warning models. Validation of SDD products is accomplished in VTNSI’s state-of-the-art 5,000 sq. ft. of wireless testing
-
, computer science, or engineering within the past 5 years. Previous theoretical and/or computational research experience in tensor networks, Monte Carlo, machine learning or a related field Proficiency in quantum
-
experience. A formal qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, Computational Linguistics or a related field would be advantageous but
-
data • Design clinically meaningful benchmarks and robust evaluations • Publish at leading machine learning and medical AI venues • Collaborate with clinicians, computer scientists, and European partners
-
(or similar): Coherent diffractive imaging, especially ptychography. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor
-
computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science, computational biology, computational neuroscience
-
. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer We offer a fully funded