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by rigorous training on project management skills. They will have access to state-of-the-art computing for high-throughput data analysis and molecular profiling technology. Our lab has a great track
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collaborations (European MCL Network). The reMoVE-B team gathers around twenty members (faculty, researchers, engineers/technicians, and students) dedicated to studying resistance mechanisms in mature B-cell
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cooperation between scientists in the fields of physics, chemistry, and engineering solid, modern equipment for manufacturing nanoscale magnetic structures opportunity to pursue a postdoctoral qualification
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped munition...
and salary range Technical Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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engineering, or a related discipline, with a clear and demonstrated focus on diabetes research. Experience with iPSC models and data analysis: Hands-on experience with induced pluripotent stem cell (iPSC
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PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs, transformer-based
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
shared resources, including the following: An integrated support structure for brain organoids In vivo and ex vivo cellular imaging platforms Bioinformatics support Production of genetically engineered
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engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities support the laboratory by providing