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at conferences and contribute to high-impact publications. Qualifications Required Qualifications: PhD in Biomedical Engineering Preferred Qualifications: Some neuroscience coursework About the Department
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. B1 lit. b (postdoc) Reference no.: 5443 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate
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qualifications include: Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field; Strong background in Deep Learning (e.g., Transformers, foundation models); Strong programming
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will contribute to research at the intersection of: • Health systems engineering and systems architecting • AI/ML-driven clinical and operational decision support • Digital health and learning health
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
, machine learning, and plant genomics. Our lab seeks to explore and understand the regulatory network of plant genes, their regulation in response to environmental stress at the single-cell level, and the
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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for research and learning. It is therefore crucial that SDU retains, develops and recruits talent. At the same time, we need to ensure consistently high quality in all our activities – and we can only do
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wide range of disciplines. Learn more about UNLV's postdoctoral scholars. MINIMUM QUALIFICATIONS This position requires a PhD Degree in Computer Science, Electrical Engineering, Environmental Engineering
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initiative proven through international publications in peer-reviewed media Didactic skills / experience in e-learning IT skills (e.g. Office, databases, GIS), excellent archaeological excavation and technical