Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Monash University
- ;
- University of Southern Denmark
- University of Sheffield
- Fraunhofer-Gesellschaft
- Technical University of Munich
- University of Groningen
- Grand Canyon University
- Durham University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NIST
- Nanyang Technological University
- The Ohio State University
- Fred Hutchinson Cancer Center
- McGill University
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Denmark
- University of North Carolina at Chapel Hill
- University of Washington
- Cornell University
- Georgetown University
- Linköping University
- Stanford University
- University of British Columbia
- University of Oslo
- Curtin University
- Delft University of Technology (TU Delft)
- European Space Agency
- Ghent University
- Harvard University
- INESC TEC
- Northeastern University
- Umeå University
- University of Lund
- Aalborg University
- Delft University of Technology (TU Delft); Delft
- NTNU - Norwegian University of Science and Technology
- Texas A&M AgriLife
- Texas A&M University System
- The University of Chicago
- UNIVERSITY OF SURREY
- University of Adelaide
- University of Birmingham
- University of Bristol
- University of Central Florida
- University of Glasgow
- University of Miami
- University of Nebraska–Lincoln
- University of Nottingham
- Wageningen University and Research Center
- AALTO UNIVERSITY
- Auburn University
- CNRS
- California Institute of Technology
- Cardiff University
- Case Western Reserve University
- Cranfield University
- DAAD
- Duke University
- Flinders University
- Forschungszentrum Jülich
- Heriot Watt University
- ICN2
- IMEC
- Instituto Pedro Nunes
- Leibniz
- Lunds universitet
- Max Planck Institute for Brain Research, Frankfurt am Main
- Nottingham Trent University
- Rochester Institute of Technology
- SUNY University at Buffalo
- SciLifeLab
- Singapore Institute of Technology
- Swansea University
- Temple University
- University of Alabama, Tuscaloosa
- University of Antwerp
- University of California, San Diego
- University of Cambridge;
- University of Copenhagen
- University of Florida
- University of New South Wales
- University of Oklahoma
- University of Oxford
- University of Pittsburgh
- University of South Carolina
- University of Turku
- VIB
- ; Brunel University London
- ; Newcastle University
- ; University of Sheffield
- AIT Austrian Institute of Technology
- Aarhus University
- Austin Community College District
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Babson College
- Baylor College of Medicine
- Birmingham City University
- 89 more »
- « less
-
Field
-
methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation
-
ultrasound physics, reconstruction algorithms, and data acquisition techniques to ensure high-quality inputs. Collaborate with clinicians: Work with medical specialists to validate the clinical utility of your
-
an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning algorithm for photovoltaic applications and utilising them for the investigation
-
developed by the project partners will be based on two key technologies: machine learning algorithms that generate artificial yet realistic data points (synthetic health data) and secure multi-party
-
innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
-
with .root files and explore different event generators as well as machine learning tools and algorithms. The nature of LDMX as an international project will require you to work collaboratively in
-
on the use of Machine Learning algorithms for rapid damage assessment. Research topics could focus on: the definition and use of novel damage sensitive features, physics informed machine learning, transfer
-
and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
-
supervisors, from different universities: Dr. Georgios Tsaousoglou at DTU, and Dr. Maryam Kamgarpour at EPFL, Lausanne, Switzerland, with the opportunity to undertake an extended research stay at EPFL. Project
-
and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit