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Brown? Brown University is a leading research university that is distinct for its student-centered learning and deep sense of purpose. Our students, faculty, and staff are driven by the idea
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the Bavarian research network bayklif2 (https://bayklif2.de ) • PhD studies supported by our faculty's structured graduate program (RIGeL) • An outstanding scientific infrastructure, excellent international
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(https://bayklif2.de ) • PhD studies supported by our faculty's structured graduate program (RIGeL) • An outstanding scientific infrastructure, excellent international networking, and a collegial working
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composition, production and performance. Improve existing datasets and create new ones useful for deep learning models Where to apply Website https://apply.interfolio.com/178410 Requirements Research
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scientist. Job requirements Professional experience Machine learning / Deep learning tools (pytorch) and predictive modeling Bioinformatics analysis of omics data Education and training PhD or equivalent
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other module development relateing to AI-assisted cardiac surgery. Other duties as assigned. Minimum Qualifications Bachelor's degree required. Preferred Qualifications Experience with deep learning
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https://pubmed.ncbi.nlm.nih.gov/36596869/ Research area: Cancer biology Keywords: lymphoma, CLL, lncRNA, microenvironment Funding of the PhD candidate: Part-time salary (min. 0,5 FTE) on EHA grant/AZV
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to support the growth and competitiveness of our automotive designs in the global landscape. For more details, please view https://www.ntu.edu.sg/ancl Key job purpose Conduct investigations on the bonding and
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep