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making algorithms. The position might also include teaching, maximum 20 %. Requirements: PhD degree or a foreign degree equivalent to a PhD degree, within machine learning, signal processing, computer
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written English is a requirement. Requirements PhD degree in within machine learning, signal processing, computational statistics or another nearby and relevant field or a foreign degree equivalent to a PhD
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and natural failures. Requirements PhD degree in a field closely related to this position, such as computational mathematics, machine learning, automatic control, optimization, signal processing, or a
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Artificial Intelligence and Mathematics for Oncology (AIMOn) group. Requirements PhD degree in Applied Mathematics, Statistics, Machine Learning, Biophysics, or a related subject or a foreign degree equivalent
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successful research and education in these areas - renewable energy sources, electric vehicles, industrial IoT, 5G/6G communication, machine learning and wireless sensor networks as well as smart electronic
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, materials science, computer sciences, or a similar area of science. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior
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in mucosal tissues, as well as binding to and entrapping various viral particles in mucus gels while removing them by active mucus turnover. Our approach is to learn from nature’s solutions but improve
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translatable drug and therapeutic targets in human tissue cohorts. The team leverages technologies including spatial transcriptomics, single-cell sequencing, and machine learning. The person selected
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. Apart from probing potential bulk transitions special interest is also on macroscopic flow instabilities, such as surface slip or shear banding. Requirements Applicants must hold a PhD in physics
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mucus gels while removing them by active mucus turnover. Our approach is to learn from nature’s solutions but improve nature's failures. Your role This position is instrumental in evaluating the anti