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); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data; a comprehensive
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technique. If successful, this could pave the way to nano-optical read and write heads for future data storage as well as to direct sequencing of nucleic acid and protein sequences by scanning-probe Raman
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protocols and generation of data, we can offer a challenging job in a dynamic research environment. The successful applicant will be placed in the research unit Ruminant Nutrition: https://anivet.au.dk/en
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genomic, gene expression and gene regulatory network data sets. We are looking for a highly motivated scientist to work in a dynamic and interdisciplinary academic team focusing on different aspects
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biological data, development of deep learning and large language models for biological discovery or graph-based methods for molecular and cellular networks. The technological foundation further consists
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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MSc degree in data science. Candidate Profile We are looking for highly motivated candidates interested in Software Engineering topics, and in the application of Generative AI in Software Engineering or
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them using techniques such as Mössbauer spectroscopy. It also involves analysing data and preparing publications. Your profile The applicant will have experience in surface physics, particularly in
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raw data. 5). Write, edit, and proofread manuscripts and scientific abstracts (with potential role as lead or co-author) for peer-reviewed journals and professional research meetings in compliance with
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. For immediate consideration, please submit a letter of interest, curriculum vitae and contact information of three references via this online application. For additional questions after application, please