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sustainable logistics systems. You will draw up a research plan and corresponding research methods in consultation with your supervisor(s) and undertake the necessary administration for a smooth PhD process
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 2 months ago
Centre CRC1525 Cardio-Immune Interfaces (https://www.ukw.de/en/crc-1525/home/) Earliest start date: September/October 2026 Enrollment in the Graduate School for Life Sciences (GSLS ) in Würzburg with
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex thermo-mechanical behaviour (e.g
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
behavioral analysis with behavioural tests and molecular techniques. The researcher will also provide support in project management. 2. Applicable Portuguese legislation Decree No. 57/2016, of August 29
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the Portuguese version has official value. By order issued by the Director General of the Telecommunications Institute on July 17, 2026, it was approved to open an international call to select one (1) candidate
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Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/279054 Campus Rutgers Biomedical and Health
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written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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regularly in its various training and research activities, as well as the weekly seminars in IDAEA-CSIC. Where to apply Website https://www.idaea.csic.es/job-offer/phd-position-understanding-and-predicting-n
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, environments, or objectives while retaining previously acquired skills. It extends conventional reinforcement learning by addressing catastrophic forgetting, knowledge transfer, and adaptation under non