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Field
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teaching light microscopy and/or image analysis to PhD-level research scientists in a formal classroom setting Strong leadership, organizational, and communication skills Experience organizing microscopy and
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of intellectual property rights on software, mathematical methods and rules of mental activity. Participation in the elaboration of legislative projects and technical standards. KT2 –Projects with companies and
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quantum chemistry, experience with machine learning regression methods. Preferred start date as soon as possible but flexible. Basic Qualifications PhD in Physics, Chemistry, Materials Science, Computer
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PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
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methods that can accurately model such processes remains an open and active research frontier. This PhD project is fundamentally about advancing that frontier, contributing new methods for generative
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. This PhD project explores how formal requirements and automated testing can produce clear, traceable, regulator-ready evidence for medical device software certification. Part of the international PlaTFoRm
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: Numerical modelling, Geotechnics, Finite Element Method (FEM), Research and development projects, Scientific achievements DESCRIPTION (subject-matter, expectations, remarks): Requirements for Candidate: PhD
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does not provide housing. Eligibility criteria PhD or DSc degree in sociology or a confirmed PhD defense by September 1, 2026 (formal requirement). Significant scientific achievements, including current
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, sensory methodologies, and instrumentation relevant to food and agricultural materials. Ensure laboratory methods, instrumentation, and quality procedures meet client needs and intended applications
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Te Tari Pūhanga Pūmanawa Rorohiko | Computer Science and Software Engineering Located in Ōtautahi | Christchurch, Aotearoa | New Zealand Full-time 37.5 hours per week (1.0 FTE) Fixed term (1 years