Sort by
Refine Your Search
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- National Energy Technology Laboratory (NETL)
- New York University
- SciLifeLab
- Technical University of Munich
- Yale University
- Aarhus University
- Argonne
- Baylor College of Medicine
- Brookhaven National Laboratory
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Cornell University
- Delft University of Technology (TU Delft)
- EPFL
- Empa
- Great Bay University
- Harvard University
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Iowa State University
- Jönköping University
- KTH Royal Institute of Technology
- Kennesaw State University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Mohamed bin Zayed University of Artificial Intelligence
- Princeton University
- Rutgers University
- University College Dublin
- University of California
- University of Florida
- University of Illinois at Chicago
- University of Kentucky
- University of Luxembourg
- University of Oxford
- University of Oxford;
- University of Pittsburgh, Pittsburgh , Pennsylvania, US
- University of Virginia
- University of Washington
- VIB
- Villanova University
- 32 more »
- « less
-
Field
-
established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
-
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-FRP How to Apply Please visit https://orise.orau.gov/netl/ to learn more about the program and the application process
-
(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
-
Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
research on population coding and Alzheimer’s disease Key research methods: fMRI (including 7T), MEG, virtual reality (VR), a wide variety of cognitive tasks, psychophysics, machine learning, deep neural
-
for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized
-
datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines
-
. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine
-
modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
-
Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention to detail and follow-up skills Strong customer service skills and phone and e-mail
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and