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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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of these activities is for the scholarship holder to develop new knowledge and skills in Artificial Intelligence, with an emphasis on the development of methodologies and techniques in Evolutionary Computation and
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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for Experimental biology (Poland). Dioscuri is a program initiated by the Max Planck Society, managed jointly with the National Science Centre (Poland) and mutually funded by the Polish Ministry of Science and
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mission. You will: Help collate data resources relevant to suicide and self-harm. Develop new machine learning methodologies (from artificial neural networks, decision trees, evolutionary algorithms and
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or multiple fields relevant to the Evolve Doctoral Programme, such as (bio)chemistry, (bio)physics, molecular biology, computational science, systems biology, evolutionary biology, ecology, astrophysics
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between insects and bacteria involves complex exchanges of metabolites, regulatory signals, and evolutionary adaptations. Understanding these processes requires integrating diverse layers of biological
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an emphasis on the development of methodologies and techniques for Evolutionary Computation and Machine Learning. Work plan: Review of the state of the art in Machine Learning and Deep Reinforcement Learning
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Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our research group studies the ecological and evolutionary drivers of floral