Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- University of Oxford
- Stanford University
- Argonne
- KINGS COLLEGE LONDON
- University of North Carolina at Chapel Hill
- Duke University
- Pennsylvania State University
- University of Florida
- University of Minnesota
- Princeton University
- Stony Brook University
- Technical University of Munich
- University of Miami
- Yale University
- ;
- Brookhaven Lab
- Leibniz
- New York University
- Technical University of Denmark
- U.S. Department of Energy (DOE)
- University of California Berkeley
- University of Central Florida
- University of Twente (UT)
- Carnegie Mellon University
- Copenhagen Business School , CBS
- Cornell University
- Heriot Watt University
- King's College London
- Northeastern University
- Texas A&M University
- University of Houston Central Campus
- University of Lund
- University of Minnesota Twin Cities
- University of Twente
- University of Vienna
- University of Washington
- Utrecht University
- Aarhus University
- Emory University
- King Abdullah University of Science and Technology
- New York University of Abu Dhabi
- Oak Ridge National Laboratory
- RIKEN
- Rutgers University
- South Dakota Mines
- THE UNIVERSITY OF HONG KONG
- The University of Iowa
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of California
- University of California Irvine
- University of Houston
- University of London
- University of Luxembourg
- University of Maryland, Baltimore
- University of Nevada, Reno
- University of North Texas at Dallas
- University of Oklahoma
- University of Texas at Arlington
- University of Twente (UT); Enschede
- Virginia Tech
- Wayne State University
- ; Xi'an Jiaotong - Liverpool University
- AALTO UNIVERSITY
- Aalborg University
- Academia Sinica
- CEA-Saclay
- CNRS
- Canadian Association for Neuroscience
- Case Western Reserve University
- Cold Spring Harbor Laboratory
- Copenhagen Business School
- Empa
- European Space Agency
- Genentech
- Georgia State University
- Ghent University Global Campus
- Heriot-Watt University;
- Imperial College London
- Institut Pasteur
- Johns Hopkins University
- Los Alamos National Laboratory
- Manchester Metropolitan University
- McGill University
- National Aeronautics and Space Administration (NASA)
- New York University in Abu Dhabi
- Purdue University
- Reykjavik University
- Royal College of Art
- SUNY Polytechnic Institute
- SUNY University at Buffalo
- Sun Yat-Sen University
- Swedish University of Agricultural Sciences
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- The Ohio State University
- The University of Arizona
- 90 more »
- « less
-
Field
-
for interfacing and interrogating cell and organoid models • Develop a deep understanding of cell-material interactions using an array of characterisation techniques ( e.g. 2D and 3D tissue reconstruction
-
project will likely use a combination of single particle cryoEM, cryoET, and X-ray crystallography, you should be an expert in at least one of those techniques and keen to learn the others. You also should
-
for the conversion of small and low energy molecules into advanced chemicals. The researcher will build up a deep understanding of the synthesised thin films, measure the electrocatalytic performances of the thin
-
qualifications include: Experience with radio interferometric observing, data processing, and imaging. Experience with modern machine learning / deep learning techniques and software packages. Experience with time
-
. Strong programming skills. Familiarity with popular Deep Learning platforms such as PyTorch and TensorFlow. Preferred Qualifications: Expertise in vision transformer or large language model. Expertise in
-
datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep learning architectures including generative models, particularly
-
is available in the exciting field of mathematics of deep learning, under the joint supervision of Prof. Alex Cloninger and Prof. Gal Mishne at UC San Diego. This NSF-funded research focuses on a
-
Free probability theory High-dimensional probability, concentration and functional inequalities Mathematical aspects of machine learning and deep neural networks Free Probability aspects of Quantum
-
rules which enable effective learning in large and deep networks and is consistent with biological data on learning in the cortex. In particular, the research will focus on evaluating and extending a
-
responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with