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communication, employing mixed methodologies (e.g., experimental, computational, and qualitative approaches) and integrating diverse data types, including self-reported and digital trace data. The School
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materials. Experience in experimental research and materials characterisation. Proficiency in English (spoken and written). Ability to work independently and within multidisciplinary research teams
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substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and
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better than 2.5 - Very good programming skills (e.g., Python, JavaScript/Angular/Electron, C++, or comparable) - Experience in the development of simulation environments or experimental software platforms
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and experimental data, the student will develop predictive models of strand displacement reactions in non-ideal settings, in collaboration with the other students within BIOHYBRITE. These areas include
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 12 days ago
assessment, and valorisation and/or processing of fishery, aquaculture and insect-based products; Proficiency in the Portuguese languages and English; Be able to independently carry out the experimental design
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highly interdisciplinary research environment. The doctoral researcher will collaborate closely with experimental soil scientists, ecologists and forest modellers within the FORFUS consortium, and will be
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experimental work. Work duties Wood is an increasingly important material in the construction sector, but it is susceptible to fungal decomposition in moist environments. Water is essential for fungal
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maintenance of MS equipment. Experience in the analysis and interpretation of MS data. Experience in research and experimental planning. Experience in research funding or contributing significantly to funding
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, metabarcoding / metagenomics) • Excellent organizational skills for research activities: optimization of experimental protocols, data compilation and management • Ability to generate reliable, high-quality data