225 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Denmark
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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Boson Sampling machine. These ambitious projects all focus on addressing fundamental and technical challenges in photonic quantum computing using continuous-variable entanglement. The successful candidate
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The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
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activities of the Department and faculty. Qualifications and Specific Competences The ideal candidate has: A PhD in Computer Science, Informatics, Computer Engineering, or a related discipline Strong
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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that you will obtain the PhD degree no later than 4 months after starting the Post Doc. You must have experience with quali-quantitative methods, tuning of LLM and computational data analysis and