Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Eindhoven University of Technology (TU/e)
- Carnegie Mellon University
- King Abdullah University of Science and Technology
- University of Oslo
- AALTO UNIVERSITY
- Aarhus University
- SciLifeLab
- Umeå University
- University of Basel
- University of California
- VIB
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Cornell University
- Delft University of Technology (TU Delft)
- Empa
- Great Bay University
- Högskolan i Skövde
- Jönköping University
- KTH Royal Institute of Technology
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- NEW YORK UNIVERSITY ABU DHABI
- NTNU Norwegian University of Science and Technology
- National Energy Technology Laboratory (NETL)
- New York University Abu Dhabi
- Technical University of Munich
- UNIVERSITY OF VIENNA
- University of Pittsburgh, Pittsburgh , Pennsylvania, US
- University of Vienna
- University of Virginia
- University of Warsaw: Faculty of Mathematics, Informatics and Mechanics
- 20 more »
- « less
-
Field
-
to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
-
of integrative analysis of single-cell or spatial omics data, advanced imaging, AI/machine-learning approaches, mathematical modelling, or novel computational methods are especially welcome. The successful
-
significant impact on the world around us. Carnegie Mellon University’s department of Electrical and Computer Engineering is looking for a talented postdoc/research scientist to work on an innovative project
-
Informatics and edge intelligence etc. Must have documented significant Knowledge/Research Background, or Must be able to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed
-
tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams. Support advanced modeling approaches including network analysis, multivariate methods, machine learning
-
. This project provides a vibrant learning environment for all the trainees. The PI is committed to the professional development of the postdoc associate in addition to their technical excellence. Core
-
Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
-
The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep