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engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: contact.btd@ls.tum.de More Information https://www.lse.ls.tum.de/btd/home/
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. The PhD student will develop and apply analytical workflows to characterize complex food matrices. The project includes i) developing and optimizing screening workflows; ii) improving sample preparation
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analytical techniques and their application to clinical problems. We expect the applicant to have some experience in statistical data analysis and to be a highly-motivated, precise-working person with
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security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data Science, Statistics, Information Systems, Computer Science, or related disciplines. Minimum 3 years
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(https://engineering.pitt.edu/bioengineering ) invites applications from accomplished individuals with a PhD or equivalent degree in bioengineering, electrical engineering, or a closely related discipline
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the development and validation of the common data model and the data integration platform for use in healthcare research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant
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researcher will work closely with the Principal Investigator and the PhD Students: Decide the experimental design for the development of the pilot study to authenticate olive oil Perform the analytical
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
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Improving Detection and Intervention for Social Isolation and Loneliness in Dementia Using NLP and Clinical Screening School of Psychology PhD Research Project Self Funded Dr Nemanja Vaci, Dr