Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Delft University of Technology (TU Delft)
- Technical University of Denmark
- Delft University of Technology (TU Delft); Delft
- Inria, the French national research institute for the digital sciences
- NEW YORK UNIVERSITY ABU DHABI
- University of Twente
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); yesterday published
- European Space Agency
- Forschungszentrum Jülich
- Högskolan Väst
- King's College London
- Nature Careers
- Tilburg University
- Aalborg University
- Aarhus University
- Argonne
- Aston University
- Baylor College of Medicine
- Cornell University
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Delft University of Technology (TU Delft); today published
- ERATOSTHENES CENTRE OF EXCELLENCE
- Foundation for Research and Technology
- Free University of Berlin
- Ghent University
- Heriot Watt University
- Institute for bioengineering of Catalonia, IBEC
- KINGS COLLEGE LONDON
- KTH Royal Institute of Technology
- King Abdullah University of Science and Technology
- Linnaeus University
- Linneuniversitetet
- McGill University
- Michigan Technological University
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Royal College of Art
- Stanford University
- Télécom Paris
- UNIVERSIDADE DE ÉVORA
- Umeå universitet stipendiemodul
- Universidade do Minho - ISISE
- Universitat de Barcelona
- University College Cork
- University of Beira Interior
- University of Miami
- University of Oulu
- University of Southern Denmark
- University of Turku
- University of Washington
- Université de Caen Normandie
- mdw - University of Music and Performing Arts Vienna
- 44 more »
- « less
-
Field
-
/molecular screens/assays (e.g., live-cell imaging, bioluminescence assays, digital PCRs, NGS) and the translation of gained insights into the generation of novel cell lines and vector formats (e.g., synthetic
-
); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
-
for seizure detection. These algorithms will be implemented on a spiking neural network (SNN) processing unit deployed on FPGA and custom-designed chips with an integrated detection mechanism. Research area and
-
research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed with the aim of benefiting
-
languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques