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to the development of techno-economic models, and supervise the PhD candidate in all research activities related to energy economics. The researcher will work closely with the principal investigator and the project
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include: Technical publications Industry and government conference presentations Course development and delivery Direct customer engagement Prototype tools and methodologies Requirements You have BS in
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» Public policy Environmental science » Natural resources management Geography Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 Aug 2026 - 23:59 (Europe/Berlin
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, 2028 730 days Advanced microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution
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samples from patients with multiple sclerosis and experimental mouse models. Conduct molecular and cellular biology experiments, including nucleic acid extraction, qPCR, chromatin profiling and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
motivated, creative and proactive PhD Researcher to join our team and contribute to the development of experimental models and study cell-matrix communication. The candidate will work within a
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.2. In the assessment of the candidate’s background and CV, scientific performance and outreach and management activities are considered, in accordance with the criteria mentioned below. IV.2.1
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, leading and co-leading intervention, intensive longitudinal data, implementation, and technology development projects aligned with the lab's mission and contributing to mentorship of students and staff
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, for example through blog posts, newspaper articles, or other forms of public engagement. Contribute actively to the development of the HEIRS research node and its activities. Contribute to the development
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maintenance of DTS systems for continuous monitoring in soil and stream Methodological developments for the use of heat as a tracer for preferential flow Development of signal processing routines for high