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international top journals. Develops an own research group. Supervises master students, PhD students and postdocs at a high international level. Aims to acquire competitive research funding from national and/or
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
team resilience. PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record Our goal: You will contribute to the E-PLUS project (Epic and interprofessional
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Poznań Website http://www.amu.edu.pl Street Wieniawskiego 1 Postal Code 61-712 E-Mail linke@amu.edu.pl STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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parts of the research, in particular, statistical analyses of data and manuscript writing. You may also be involved in supervising PhD students, contributing to project management, and assisting other
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://www.jobbnorge.no/en/available-jobs/job/294536/phd-research-fellow-in-formal-methods-for-industrial-engineering Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294536/phd-research-fellow-in-fo
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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should have a strong PhD degree. Key criteria for shortlisted candidates include: A strong teaching record; Ability to teach and design courses in Digital Animation, VR/ AR, interactive art or
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Code11428StreetBrinellvägen 8Geofield Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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Porcellato, phone: +47 67232541, e-mail: davide.porcellato@nmbu.no Information for PhD applicants and general Information to applicants via Unsplash Application Send application electronically via the link
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projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties • Design and implement machine learning and deep learning models for hydrological