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: Publish impactful work in leading journals and conferences in your field Teach, guide, and supervise BSc and MSc student projects, as well as supervise PhD students Actively participate in creating a robust
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, Mathematics, and Statistics. The position is a full-time position. The expected start date is during the fall of 2024, but we are flexible on the start date. Responsibilities and qualifications We are looking
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negative externalities of transport. The division is interdisciplinary with scholars from transportation engineering, economics, psychology, computer science, machine learning, mathematics, and statistics
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interpret multi-modal data (e.g., omics, images, etc.). The ideal candidate has the following skills PhD or MSc in computational biology, statistics, mathematics, computer science or related topics Advanced
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funding and student talent to expand our activities. As a member of our team, you will support our teaching and contribute to our MSc program in Computer Science and Engineering , and play a key role in
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(see http://orcid.org/ ), Google Scholar (https://scholar.google.com/ ) and DBLP (https://dblp.uni-trier.de) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD