Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Bergen
- University of Oslo
- ;
- National University of Singapore
- UNIVERSITY OF SOUTHAMPTON
- University of British Columbia
- Harvard University
- University of Birmingham
- University of Cincinnati
- Carnegie Mellon University
- Singapore Institute of Technology
- University of Texas at Austin
- George Mason University
- Johns Hopkins University
- Simons Foundation
- University of Michigan
- University of Nottingham
- Genentech
- Hong Kong Polytechnic University
- Korea Institute for Advanced Study
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Simons Foundation/Flatiron Institute
- University of Bristol
- University of Maryland, Baltimore
- University of Surrey
- University of Waterloo
- AbbVie
- Australian National University
- Central Queensland University
- City of Hope
- Curtin University
- Florida Atlantic University
- Griffith University
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- King Abdullah University of Science and Technology
- Marquette University
- Monash University
- Montana State University
- Nature Careers
- Ryerson University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Ohio State University
- The University of Queensland
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- University of Agder
- University of Alabama, Tuscaloosa
- University of Ljubljana
- University of Michigan - Ann Arbor
- University of Michigan - Flint
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of San Francisco
- University of South-Eastern Norway
- 47 more »
- « less
-
Field
-
tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and computing resources and
-
prediction using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and
-
algorithms might support the wider integration of, and uptake of, renewable energy technologies for particular use cases and considering a variety of perspectives (technical/policy/social/economic). You will
-
HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including
-
or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
-
. Experimentation & Implementation - Develop and implement the related algorithms, models, and techniques. - Perform rigorous benchmarking and evaluation of the developed models. - Optimize algorithms for efficiency
-
amplifiers Develop scripts and algorithms for analog IC design Prepare report and conduct presentation at seminars Assist the school in various teaching activities, including instructing or supervision of labs
-
include but are not limited to: network architecture design for NTN and terrestrial network (TN) convergence, intelligent traffic steering algorithms between TN and NTN, orchestration of TN/NTN resources
-
: The successful applicant will be responsible for: Obtaining rigorous mathematical results at the interface of optimization, geometry, and data science Designing, implementing, and testing algorithms Engaging in
-
collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond