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data analytics; Development of marine geophysical survey and machine learning algorithms; Process geophysical/geomechanical data and analyze the data using machine learning; Conduct research, supervise
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/Anders Lien 9th September 2026 Languages English English English PhD Research Fellow in Machine Learning for Cognitive Neuroscience Apply for this job See advertisement About the position Position as PhD
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Science, or a related field. No experience required. Preferred Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology
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electromagnetic and thermal simulations. This work will include detailed tissue segmentation from medical images, integration of automatic and semi-automatic segmentation algorithms, refinement of anatomical
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
projects. The student will work closely with the group leader and PhD students to implement and maintain computational mechanics methods that serve as the foundation for future research activities. Typical
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
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discipline whose research includes mechanistic studies relevant to human nervous system disease. The program is open to PhD, MD, or MD/PhD applicants seeking their first tenure-track assistant professor
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the data analytic infrastructure (models, algorithms, software and data systems). Help develop the architecture and concept of operations for geodetic infrastructure at MGO, including fieldwork. Prepare
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Chair of Biological Imaging 13.08.2026, Academic staff Join us in shaping the future of biomedical imaging We are looking for a curious and persistent PhD student (f/m/d) who wants to discover new