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of peptide design and chemistry, computational methods (machine learning, deep learning, genetic algorithms), microbiology, synthetic biology, and related areas essential to developing novel
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://reallabor.offshore.uol.de/en/ ). Within your PhD, you will develop wind farm control algorithms that can contribute to providing system services with a focus on active power and frequency control while simultaneously
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the utility and the robustness of different explanation strategies. A large focus of this project will be on leveraging novel and interpretable approaches in applied domains such as algorithmic fairness and
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modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be
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for new quantum computing algorithms. It will rely on statistical structure learning represented by knowledge graphs and efficient low-rank tensor compressions. We are looking for: A completed scientific
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://dorienherremans.com/biblioPhD Fellowship in AI for Finance (AIFi Lab)The AIFi Lab explores innovative applications of AI in finance, with a focus on multimedia processing for AI trading algorithms, we work closely
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to develop basin-scale petrophysical models. Proven record of involvement in research projects relevant to oil and gas (O&G) and emerging energies. Ability to develop code/algorithms in Python or similar
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algorithms, development of the readout electronics for the photo-detection system, and development of the analysis framework for an analysis of oscillations in DUNE using atmospheric neutrinos. Over the next
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Computer Engineering or related areas; Knowledge of the development of automatic [deep] learning and information visualization applications; Experience in the use of algorithms and data analysis methods
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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines