Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, aligning AI systems with complex human values, and building self-improving agents capable of autonomous learning. Our work combines cutting-edge experimentation – spanning RL, meta-learning, and robust
-
of the Swammerdam Institute for Life Sciences at the University of Amsterdam (UvA). BDA works on the development of methodology for data mining, machine learning/deep learning, data fusion, and modelling and
-
qualifications: PhD or equivalent achievement (proof of independent research capability) in Machine Learning, Computer Science, Physics, Mathematics, or a related field Deep theoretical knowledge and extensive
-
. Metagenomics, meta-transcriptomics and metabolomics data analysis and extensive familiarity with gut microbiome research. Machine learning for genomics (representation learning, generative models, causal
-
this context. Already enrolled in a PhD programme. Minimum requirements: Knowledge of mathematics, machine learning, proficiency in programming languages including Python, C/C++. Experience with machine learning
-
machine learning, data mining, and analytic techniques. Experience mentoring and developing junior employees on soft and technical skills. Experience with project management methods. Peer-reviewed
-
Sciences at the University of Amsterdam (UvA). BDA works on the development of methodology for data mining, machine learning/deep learning, data fusion, and modelling and application of these methods
-
/356343/postdoc-position-modelling-impa… Requirements Specific Requirements You hold a PhD degree in ecology or environmental science. You have proven experience with quantitative analytical methods (meta
-
dynamics of these devices to perform complex learning tasks with extreme energy efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair
-
, optimisation theory, physical layer design, machine learning, and their applications to wireless communications. The successful candidate will also be expected to contribute to the formulation and submission