Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Rutgers University
- Princeton University
- ;
- Ghent University
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Munich
- University of Groningen
- Argonne
- Brookhaven Lab
- Duke University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- Stony Brook University
- University of California
- University of Cambridge
- University of London
- University of Minnesota
- University of Oslo
- Yale University
- Aarhus University
- Arizona State University
- Baylor College of Medicine
- CWI
- Chalmers University of Technology
- Chongqing University
- European Space Agency
- Institut Pasteur
- King Abdullah University of Science and Technology
- Leibniz
- Louisiana State University
- Medical College of Wisconsin
- New York University
- Oak Ridge National Laboratory
- Pennsylvania State University
- Purdue University
- SciLifeLab
- THE UNIVERSITY OF HONG KONG
- Texas A&M University
- The University of Arizona
- The University of Iowa
- Tsinghua University
- UNIVERSITY OF VIENNA
- Umeå University
- Universiteit van Amsterdam
- University of Birmingham
- University of California Berkeley
- University of Central Florida
- University of Colorado
- University of Connecticut
- University of Lund
- University of Luxembourg
- University of Maryland
- University of Newcastle
- University of Oregon
- University of Oxford
- University of Twente
- University of Vienna
- University of Virginia
- Utrecht University
- VIB
- Wayne State University
- Westlake University
- 53 more »
- « less
-
Field
-
methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
-
for generalization in data-scarce situations, and graph neural networks to model relational and topological structures. Other methodological directions include development of customized loss functions for spatio
-
within complete social networks, linking neural profiles to various social network processes such as similarity selection and peer influence. Organisation The University of Groningen is a research
-
work on a study funded by the National Institute of Mental Health. The major goal of the project is to use a combination of modern circuit neuroscience technologies to establish neural circuits
-
informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability
-
project funded by the Waterloo Foundation , exploring the neural mechanisms of balance control in children with and without Developmental Coordination Disorder (DCD). This is a hands-on role that will
-
. The central goal of the laboratory is to study the neural mechanisms involving dynamic RNA modifications during cognitive development and decline. To achieve this, research projects rely on the use of a
-
their expertise together to establish neural organoid models recapitulating aspects of neural-microglia interactions in neurodegenerative diseases at Ghent University. About project MINDFUL: Lipid accumulation in
-
, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations
-
-reconstructions and observations, low-order data assimilation, or deep neural networks. A quantification of the impact of mesoscale and submesocale features is also expected. At a later stage, the successful