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of results. Profile You have a PhD degree in physics, engineering, photonics or a related discipline. You have a good basis in optics, laser spectroscopy and signal-processing techniques. You have experience
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, e.g. have group meetings, together with the PhD students who are already working on these topics and are co-supervised by Goeman and De Heide. If you apply to this vacancy, you can indicate you
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to develop intensified processes for CO2 conversion into sustainable synthetic fuels via cobalt-catalysed Fischer-Tropsch Synthesis (FTS), based on advanced catalysis and reactor engineering concepts
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. 750 words), explaining your motivation for applying. A short research statement (c. 1000 words, excluding references), in which you set out briefly how you would approach the project and indicate how
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of the contract is contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the contract period is to be expected. The PhD candidate is expected to teach
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, clustering, signal decomposition/unmixing, incremental few-shots learning, or other alternative classification methodologies. Experience in processing and analyzing data derived from analytical instrumentation
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. High-quality training programs and other support to grow into a self-aware
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to their tipping point. While both subsystems have been studied in isolation, it is yet largely unknown how they may interact and affect each other’s tipping behaviour. For example, an AMOC collapse could
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the development of the adolescent brain. As one of the first in the world, she has been systematically monitoring adolescents, their lifestyle and the neurological processes in their brains on a long-term basis