Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- ICN2
- Princeton University
- CNRS
- City University of Hong Kong
- Forschungszentrum Jülich
- Oak Ridge National Laboratory
- Universidade de Coimbra
- University of Oslo
- ;
- Centre for Genomic Regulation
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Fundació per a la Universitat Oberta de Catalunya
- Georgetown University
- Ghent University
- King Abdullah University of Science and Technology
- Leiden University
- 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.
- Temple University
- Texas A&M AgriLife
- Texas A&M University System
- The Ohio State University
- UNIVERSITY OF VIENNA
- Universidad de Alcalá
- University of Adelaide
- University of Liverpool
- University of Massachusetts Medical School
- University of South Carolina
- University of Vienna
- Université de Bordeaux / University of Bordeaux
- 25 more »
- « less
-
Field
-
Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network
-
of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
-
gene gain/loss events, horizontal gene transfer, and functional diversification within gene families. You will apply statistical models and machine learning algorithms to identify associations between
-
Offer Description The researcher will develop various applications, algorithms, and AI techniques for Virtual Power Plants (VPPs) within the distribution grid environment. These will include neural
-
range of disciplines, including evolutionary biology, ecology, computational biology, genetics, and comparative genomics. The build-up of biodiversity gradients from spatial diversification dynamics 1
-
-including evolutionary algorithms, ant colony optimisation, and simulated annealing-to fine-tune an LLM/agent that generates high-quality prompts, inputs, and tool-use strategies for density functional theory
-
., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
-
with over 30,000 undergraduate, graduate, and professional students and more than 300,000 alumni worldwide. The position is in the Institute for Genomics and Evolutionary Medicine (iGEM), established
-
that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures
-
., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical