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of machine learning methods for reduced order process model generation (experience with Gaussian process models is further desirable). Developing APIs and automated workflows for connecting numerical
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PhD position developing appropriate spatiotemporal monitoring and reporting metrics to investigate the evolution and stability of restored marine habitats and their ecosystem services with focus
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are to: Design and implement experimental protocols for quantum sensing using either squeezed states or color centers in diamond. Develop, operate and maintain an experimental setup for quantum sensing. Acquire
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qualification you must hold a PhD degree (or equivalent) in fish ecology or population modelling. You will be assessed against the responsibilities and qualifications stated above and the following general
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discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 270 dedicated
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the research community at conferences and workshops. You should bring the following qualifications: A PhD degree in (computational) neuroscience, biomedical engineering, computer vision, machine learning
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/Isoform-Analysis . Responsibilities Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases that enable and inspire other researchers to analyze
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Publishing the research findings in scientific journals and conferences. The ideal candidate is desirable to have the following qualifications: A PhD degree in Operations Research, Transportation Modelling
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that take into account their sensory and perceptual profiles. This project connects key principles of the neuroscience of perception, visual computing, human computer interaction and machine learning
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to Danish and European food authorities. To put it short. if you want to make a meaningful contribution and positive impact on society, the world and yourself, this job is tailored to you. Learn to master two