Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- CNRS
- Brookhaven National Laboratory
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- University of North Carolina at Chapel Hill
- University of Washington
- Brookhaven Lab
- New York University
- THE UNIVERSITY OF HONG KONG
- Argonne
- Baylor College of Medicine
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- Itä-Suomen yliopisto
- Loyola University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- McGill University
- Oak Ridge National Laboratory
- SUNY Polytechnic Institute
- The University of Arizona
- University of Florida
- University of Luxembourg
- University of Minnesota
- University of Texas at Arlington
- Uppsala universitet
- Washington University in St. Louis
- Carnegie Mellon University
- Cornell University
- Delft University of Technology (TU Delft)
- ETH Zürich
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- KTH Royal Institute of Technology
- Medical College of Wisconsin
- Radboud University
- Stanford University
- Stony Brook University
- Technical University of Denmark
- Texas A&m Engineering
- Universitat de Barcelona
- University of Oregon
- University of Oslo
- University of Oxford;
- University of Southern Denmark
- Université Claude Bernard Lyon 1
- ;
- AALTO UNIVERSITY
- Aalborg University
- Aarhus University
- Case Western Reserve University
- Central State University
- Chalmers tekniska högskola
- Computer Vision Center
- Delft University of Technology (TU Delft); Delft
- Duke University
- ERATOSTHENES CENTRE OF EXCELLENCE
- Empa
- European Space Agency
- Foundation for Research and Technology-Hellas
- Free University of Berlin
- Heidelberg University
- Heriot Watt University
- ICN2
- IMT - Atlantique
- Institut Pasteur
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Institute for bioengineering of Catalonia, IBEC
- Institute of Physical Chemistry, Polish Academy of Sciences
- Johns Hopkins University
- KINGS COLLEGE LONDON
- KTH
- KU LEUVEN
- Karolinska Institutet (KI)
- King Abdullah University of Science and Technology
- King's College London
- LIGO Laboratory
- Leibniz
- Linköping University
- Linköpings University
- Linneuniversitetet
- Luxembourg Institute of Health
- MUNSTER TECHNOLOGICAL UNIVERSITY
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Radboud University Medical Center (Radboudumc); 10 Oct ’25 published
- Rutgers University
- Sano Centre for Computational Personalized Medicine
- SciLifeLab
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- Texas A&M University
- The California State University
- The Ohio State University
- The University of Chicago
- The University of Memphis
- The University of North Carolina at Chapel Hill
- UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias
- Umeå University
- 90 more »
- « less
-
Field
-
demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
-
distribution in electron tomograms? Examples of work that you may conduct during your postdoc: Algorithm development and implementation (e.g. in C++). Machine learning development for image recognition
-
biomedical image processing. Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches
-
systems, with a focus on 3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation
-
electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
-
Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
-
imaging (MRI). The position is within the Research Council of Finland (RCF) consortium project focusing on the development of low-field MRI hardware, sequences, image reconstruction and applications, in
-
artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
-
, United States of America [map ] Subject Area: Computational Science / Artificial Intelligence/Machine Learning Appl Deadline: (posted 2025/11/19, listed until 2026/01/26) Position Description: Apply Position Description
-
artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science