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Field
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. www.tuni.fi/en The Physics Unit at the Faculty of Engineering and Natural Sciences at Tampere University is inviting applications for a postdoctoral research fellow position in computational materials physics
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responsibilities will include: Lead Field Research: Plan and execute field-based surveys to assess natural capital values, including forest structure, composition, and fauna diversity. Analyse and Report: Process
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” The central aim of CRC 1372 is to achieve a comprehensive and multidisciplinary understanding of magnetoreception and vertebrate navigation all the way from the biophysical mechanisms to the natural behaviour
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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learning frameworks previous experience in natural language processing, sound-based machine learning, development and deployment of health technology software . interest and previous experience in
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of proficiency in English (if required, cf. English language requirements for PhD admission ) a list of any works of a scientific nature (publication list with links) The application and appendices with certified
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publication list Two educational or professional recommendations A copy of an abstract or reprint of an article All documents must be in English or include an official English translation. Connect with ORISE
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publication list Two educational or professional recommendations A copy of an abstract or reprint of an article All documents must be in English or include an official English translation. Connect with ORISE
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Type of Contract: Full-time, Funding limited for 36 months A talented and creative Research Fellow is sought to work within the School of Natural and Computing Sciences with Dr. Mark Law on
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interdisciplinary team will develop a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech recorded at home to calculate relapse