Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Oslo
- Forschungszentrum Jülich
- Leiden University
- Nature Careers
- Princeton University
- University of Groningen
- CEA
- CNRS
- City University of Hong Kong
- Curtin University
- Fraunhofer-Gesellschaft
- Georgetown University
- Imperial College London
- King Abdullah University of Science and Technology
- Leiden University; Leiden
- Max Planck Institute for Molecular Genetics •
- Missouri University of Science and Technology
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- Texas A&M AgriLife Extension
- Texas A&M University System
- The Ohio State University
- Universidade de Coimbra
- University of Adelaide
- University of Massachusetts Medical School
- University of Sheffield
- University of South Carolina
- 17 more »
- « less
-
Field
-
evolutionary algorithms for shape-optimisation problems. Key responsibilities Assist in relevant teaching activities; Perform PhD research on one of the above topics and publish in top venues; Collaborate
-
tailored multi-objective evolutionary algorithms for shape-optimisation problems. Key responsibilities Assist in relevant teaching activities; Perform PhD research on one of the above topics and publish in
-
tailored multi-objective evolutionary algorithms for shape-optimisation problems. Key responsibilities Assist in relevant teaching activities; Perform PhD research on one of the above topics and publish in
-
to accelerate evaluation of costly simulations Genetic algorithms and other evolutionary techniques to generate a diverse set of high-performing solutions. You will design and implement new optimization
-
minimizing error and maximizing efficiency, is computationally challenging—no known polynomial-time algorithm exists to solve it optimally in all cases. Because of this complexity, researchers typically rely
-
genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts
-
Responsibilities Computational Modeling & AI Development Train and fine-tune ESM (Evolutionary Scale Modeling) protein language models on curated datasets to generate novel protein sequences Develop and optimize
-
of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors
-
of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors
-
of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing