Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Zintellect
- Inria, the French national research institute for the digital sciences
- Nanyang Technological University
- Universidade de Coimbra
- University of Nottingham
- ;
- City University of Hong Kong
- Dana-Farber Cancer Institute (DFCI)
- Max Planck Institute for Molecular Genetics •
- Monash University
- National University of Singapore
- Texas A&M AgriLife Extension
- University of British Columbia
- University of London
- University of Massachusetts Chan Medical School
- University of Michigan
- University of Pennsylvania
- Wageningen University & Research
- 8 more »
- « less
-
Field
-
combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta-heuristics, has long favoured
-
datasets to identify and characterize microbial and plant-derived biosynthetic pathways, predict their ecological functions, and reconstruct the (co-)evolutionary dynamics of traits such as microbiome
-
on a project in the area of cross-border electricity market. The role will focus on cross-border electricity market design, market risk analysis, bidding strategies, and relevant optimization algorithms
-
(IoT) Computer networks Computer Architecture Computer Science for Accounting & Finance Computer Science for Marketing Parallel Computing (including Algorithms) Computational Intelligence (Evolutionary
-
Job Description We are looking for a Research Fellow under the National University of Singapore (NUS) to support a project investigating the fundamental theoretical and algorithmic performance
-
environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
-
Linux environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives
-
graph-based algorithms for genetic data. The specific project involves understanding the unique evolutionary histories of diverse populations, both in humans and other species. The research specialist
-
machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
-
by applying existing and novel computational biology, bioinformatic, and machine learning algorithms to sequencing datasets and correlating them with multi-dimensional clinical datasets that contain