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Field
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studies in the area of machine learning for wireless communications. Develop and implement machine learning techniques for communication systems, with a strong emphasis on producing high-quality research
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shared purpose of translating our passion for chemistry to young scholars at all levels in many scientific fields. To learn more, please visit our website: http://www.chem.tamu.edu/ We are a prestigious
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travel. You will answer it and optimized the system for maximum antimicrobial effect. This position brings microbiology into a group built on chemistry and biophysics, and it is the expertise we do not
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» Learning studies Educational sciences » Teaching methods Researcher Profile Recognised Researcher (R2) Application Deadline 17 Aug 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status
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/2026 Group or Departmental Website: https://med.stanford.edu/supekar-lab.html(link is external) How to Submit Application Materials: Please email application materials as a single PDF to supekarlab
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Summary: The Neuromodulation Research Center (NMRC) at the University
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studies have undertaken this topic, mostly from the archaeological perspective. Other novel approaches include: searching for seasonal isotopic changes in plants; investigation of the local Suess effect
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discipline with demonstrated historical research capacity and excellent results. Ability to work independently and collaboratively in research teams. Knowledge of – or affinity with – the history
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/herbarium leaves for robust identification and tracing of timber species, and (2) develop identification and tracing case studies based on DNA of fresh and xylarium wood samples, (3) engage with the different
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research profile in the core topics of education, culture, management/technology, sustainability and state. Its international study model with the Leuphana College, the Leuphana Graduate School and the