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-based networks graph-based approaches Bayesian learning information theory Documented strong programming skills (preferably Python), for example with contributions to open-source projects, with an active
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topics such as: neural networks self-supervised learning convolutional neural networks transformer-based networks graph-based approaches Bayesian learning information theory Documented strong programming
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. We have recently developed cross-eukaryotic theory linking this motion to the essential maintenance and sharing of biomolecules across the cellular population of mitochondria (PMID 38043948). Already
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for the position will be ranked based on: A solid background, and any relevant research experience or high-quality publications, in robotics, machine learning, control theory, autonomous systems and mathematics
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. theory development. The postdoc will be supported and by and network within the lab group of Prof. Peter Manning, the Terrestrial Ecology group of UIB and the SAFER consortium. Qualifications and personal
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the context of borehole geophysics, is a strong advantage. Experience with effective medium theories is an advantage. Candidates without direct experience in geophysics may also be considered, provided they can
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theories, neuroscience, and language acquisition/processing, we focus on the effects of multilingualism – for the languages involved, for the brains that house them, and for the learning and teaching of
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in programming language theory, algorithms, distributed systems and logic Experience with language-based techniques for information-flow analysis or access control, formal methods or semantic
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: The topic of the Master’s degree must be of relevance to the job description Preference will be given to candidates with a multi-disciplinary background consisting of both control theory (or related fields
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consisting of both control theory (or related fields) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization