23 computer-vision-and-machine-learning Postdoctoral positions at University of Southern Denmark
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job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 3351 Is the Job related to staff position within a Research Infrastructure? No Offer Description A 2
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(written and spoken). Conduct independent research. Have high self-motivation to learn. Be able to work well and communicate expert knowledge in an interdisciplinary team. Have a strong sense of
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degree in Computer Science/Software Engineering or related areas. Research expertise with background in at least two of the following areas: Cybersecurity, Block-chain, Cryptography (e.g., Multi-Party
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a postdoctoral research fellowship in models of quantum
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static and dynamic program analysis, tailored to the challenges of cross-language data communication. In particular, to systematically model and analyze cross-language communications to discover hidden
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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sequencing, and genome-wide CRISPR functional screening in both mouse models and clinical samples. Working closely with computational biologists and clinicians, this interdisciplinary project offers
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. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do
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of Southern Denmark was established to create value for and with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive
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with fluorescence activating cell sorting (FACS) or desire to learn. Experience with scanning electron microscopy or desire to learn. Experience with mass-spectrometry techniques. Motivation and strong