Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Oak Ridge National Laboratory
- CNRS
- Technical University of Munich
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Technical University of Denmark
- AALTO UNIVERSITY
- Argonne
- Stony Brook University
- Aalborg University
- University of Oxford
- University of Washington
- Carnegie Mellon University
- Stanford University
- Baylor College of Medicine
- Inria, the French national research institute for the digital sciences
- THE UNIVERSITY OF HONG KONG
- Texas A&M University
- University of North Carolina at Chapel Hill
- Delft University of Technology (TU Delft)
- KINGS COLLEGE LONDON
- Northeastern University
- The University of Arizona
- University of Luxembourg
- University of Minnesota
- Aarhus University
- Bucharest Universty of Economic Studies
- Chalmers University of Technology
- ICN2
- Princeton University
- Rutgers University
- University of Maryland, Baltimore
- Aix-Marseille Université
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Indiana University
- National Aeronautics and Space Administration (NASA)
- New York University
- RIKEN
- The University of North Carolina at Chapel Hill
- Umeå University
- University of Amsterdam (UvA)
- University of Southern Denmark
- Université Grenoble Alpes
- ;
- Academia Sinica
- CIC energiGUNE
- DePaul University
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- George Washington University
- Grenoble INP - Institute of Engineering
- Heriot Watt University
- Institute for bioengineering of Catalonia, IBEC
- KTH Royal Institute of Technology
- King's College London
- Lawrence Berkeley National Laboratory
- Nantes Université
- Pennsylvania State University
- SUNY Polytechnic Institute
- Texas A&M AgriLife
- The Cyprus Institute
- The Hebrew University of Jerusalem
- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UNIVERSITY OF VIENNA
- Umeå universitet
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Bergen
- University of California
- University of California Berkeley
- University of Central Florida
- University of Houston
- University of Liverpool
- University of Oklahoma
- University of Oxford;
- University of Sydney
- University of Texas at Arlington
- University of Twente (UT)
- University of Utah
- Université Claude Bernard Lyon 1
- Université de Bordeaux / University of Bordeaux
- Washington University in St. Louis
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Xi'an Jiaotong - Liverpool University
- Örebro University
- Aalborg Universitet
- Argonne National Laboratory
- Axoniverse
- Broad Institute of MIT and Harvard
- Brookhaven Lab
- Brookhaven National Laboratory
- CEA-Saclay
- CISPA Helmholtz Center for Information Security
- California Institute of Technology
- Caltech
- Center for NanoScience Munich
- 90 more »
- « less
-
Field
-
digital twins using prediction-powered inference to enhance reliability assessment; The theoretical analysis and algorithmic development of methods rooted in statistical learning theory, multiple hypothesis
-
. The participant may also have the opportunity to be involved with the development of novel algorithms, bioinformatic tools or analytical pipelines that quantify the diversity of RNA viruses that may be deployed in
-
implements machine and deep learning programs. Develops algorithms to deconvolve RNA-seq data and compare them to AI-based methods. Performs follow up validation efforts on cell lines. Minimum Qualifications
-
verification algorithms and prototypes on large microgrids, Naval systems, and utility systems. ● Assist grant proposal writing, work collaboratively with industry and government, and mentor graduate
-
patterns may mimic those observed in irrigated croplands. Key Responsibilities: Conduct research to develop algorithms and methodologies for mapping irrigation patterns using satellite imagery. Investigate
-
), to work on problems at the intersection of biology, medicine, mathematics and computation. The successful candidate will contribute to the development of next-generation learning algorithms to understand
-
genome science, including the development of new algorithms and statistical methods to analyse genome sequencing data. Moving forward, the labs are jointly building an interdisciplinary research team
-
to develop algorithms and methodologies for mapping irrigation patterns using satellite imagery. Investigate methods for detecting the timing and frequency of irrigation events from time-series remote sensing
-
-cell and spatial-omics research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic
-
or equivalent research experience in bioinformatics, computational biology or related subjects; should be familiar with state-of-the-art NGS tools, algorithms and pipelines for processing and