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administrative datasets, applying best-practice statistical/econometric methods and producing reproducible code and publications. Support supervision and development of Honours and HDR students, share expertise
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changes in sensory coding. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on
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the scope of operation no. 16144, operation code LISBOA2030-FEDER-00729800. Scientific Area Chemical Engineering. Mandatory admission requirements The following may apply: • Holders of a Master’s degree in
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Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Strong research track record in software engineering, AI for code, or software security (e.g., publications in
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-la.pt Street Universidade de Aveiro, Edifício 3, Campus Universitário de Santiago, Postal Code 3810-193 E-Mail ines.rosa@ua.pt STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all
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the use of advanced statistical techniques (e.g., multilevel or longitudinal modelling). Expertise in classroom observation video coding will be highly advantageous. Familiarity with classroom quality
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for the role. The following documents will be required: CV Contact details for 2 referees. DOI/URL links to up to three relevant works of research. Link to one or more public repositories illustrating coding
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-postdoctoral-f… Work Location(s) Number of offers available1Company/InstituteHanken School of EconomicsCountryFinlandGeofield Contact City Helsinki Website http://www.hanken.fi Street Arkadiankatu 22 Postal Code