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Field
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Requirements A PhD in computer science, artificial intelligence, human–computer interaction, computational social science, digital humanities, cognitive science, or a related field; Experience with
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are strong in advanced chemical engineering research and enjoy hands-on experimental work. You are eager to grow your expertise and enjoy engaging with and supporting students. You need to have: A PhD
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the ambition to grow. For more information about LIACS, visit our website. What you bring We are looking for candidates with: A PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision
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learning to understand and predict the behavior of cardiovascular tissues and organs across scales. You will work closely with PhD students, MSc students, and international VITAL partners. This is a full
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the different nucleation pathways for ice formation. You will collaborate with other researchers inside and outside our research group to stength the research outcome. Job requirements A PHD degree in a relevant
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on three main tasks. The first task is to perform centroid-moment tensor inversions for small (M < 1) induced events in the Groningen area, yielding valuable insight into the ability to invert waveforms
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to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint
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) induced events in the Groningen area, yielding valuable insight into the ability to invert waveforms generated by relatively small events. The second task is to devise an inversion strategy best suited
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-solving, and communication skills. Ability to work independently as well as in multidisciplinary research teams. Interest in supervising Master's and PhD students, and in collaborating on grant writing and
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. The ability to work independently while collaborating effectively with researchers, PhD candidates, and students in a multidisciplinary environment. An affinity for Open Science, responsible research practices