Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- National University of Singapore
- Inria, the French national research institute for the digital sciences
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- Universidade de Coimbra
- University of South-Eastern Norway
- AIT Austrian Institute of Technology
- FAPESP - São Paulo Research Foundation
- Gdańsk University of Technology
- Meta/Facebook
- University of Copenhagen
- Utah Valley University
- Wageningen University & Research
- 3 more »
- « less
-
Field
-
analyses of single-cell and spatial omics to advance precision medicine. Dr Chen’s research team develops AI algorithms for spatial and single-cell omics, integrates publicly available datasets into a
-
epidemiology, remote sensing, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches; - Develop and implement
-
duties and responsibilities include: computational (meta)genome mining and quantitative data analysis of biosynthetic and catabolic genes and clusters, pathogenicity genes and other functional genes
-
Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
) solvers are a key element in simulating dynamics, but their execution times, even on supercomputers, make them difficult to deploy for digital twins subject to strong reactivity constraints. Meta-models
-
The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute in Copenhagen is looking for a meta optics expert to work on scalable neutral atom quantum computing from 1
-
these to work in Meta's hyperscale fleet. We target a broad range of AI workloads: LLMs, GenAI, recommender systems, and more. We do full-stack optimization - ML Hardware, ML Systems, ML Algorithms, and AI Co
-
: a continental data synthesis and meta-analysis” is available at CCARBON, a Research, Innovation and Dissemination Center (RIDC) supported by FAPESP and hosted by the University of São Paulo's Luiz de
-
the Principal Investigator (PI) on the project “Meta-Learning of Robust State Estimation for Agile Mobile Robots.” The position focuses on advancing state estimation and odometry for robotic systems, with
-
development and optimization, focusing on pore-to-rhizosphere scale nutrient uptake and yield dynamics 14C modeling for soil organic and inorganic carbon Global soil meta-databases collection, integration, and
-
optimization, focusing on pore-to-rhizosphere scale nutrient uptake and yield dynamics 14C modeling for soil organic and inorganic carbon Global soil meta-databases collection, integration, and synthesis Earth