Sort by
Refine Your Search
-
Country
-
Employer
- ; The University of Manchester
- Nature Careers
- ; Manchester Metropolitan University
- DAAD
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- SciLifeLab
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- University of Adelaide
- University of British Columbia
- University of Oldenburg
- University of Tübingen
- 4 more »
- « less
-
Field
-
research on secure algorithms and protocols for privacy-preserving analysis of genomic and clinical data. Develop and integrate methods for variant filtering, prioritization, and rare-variant association
-
Project advert We are looking for a PhD candidate with a background in human physiology or biomedical engineering/computer science to develop new ways to measure healthy ageing from genetic and
-
for combined network design and resource pricing, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic
-
theoretical research is focused on embodied neuroAI, recognising that the body influences biological neural networks, the continuity of actions, and sensory inputs. Leveraging advancements in Drosophila genetic
-
analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. This is based on perspective and
-
maintenance. 4. Automated Design Optimization: Reinforcement learning and genetic algorithms will be applied to optimize CFDST geometries and material configurations for maximum efficiency and durability. By
-
, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic algorithms, simulated annealing) to solve large
-
, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic algorithms, simulated annealing) to solve large
-
Inria, the French national research institute for the digital sciences | Lille, Nord Pas de Calais | France | 3 months ago
time complexity of non-dominance calculation to achieve some quantum acceleration in that sense. References [1] Zakaria Abdelmoiz Dahi, Chaker Mezioud, Amer Draa: A quantum-inspired genetic algorithm
-
use population-scale genetic, clinical, or public health data from pathogen surveillance efforts and biobanks. What do we offer? A creative and inspiring environment full of expertise and curiosity