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interaction methods. Experience in molecular biology of cyanobacteria is a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9198-TANTIB-001/Default.aspx Work Location(s) Number
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, College of Science, Technology, Engineering, and Mathematics, invites applications to fill the position of Postdoctoral Researcher in Cyanobacteria Photosynthesis. The project is a collaborative efforts
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 days ago
requirements for the competition are as described below. Candidates must have previous skills and experience in: a. Techniques for the cultivation and handling of actinobacteria and cyanobacteria, including
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 7 days ago
of cyanobacteria and microalgae. Candidates must provide documented laboratory experience in fundamental microbiological techniques, particularly in the isolation of cyanobacteria and/or microalgae from diverse
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and all forms of discrimination.” 3 – Place of work: CIBIO‑Azores, University of the Azores, at the facilities of the Bank of Algae and Cyanobacteria of the Azores (BACA), located at the University
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PROJECT: Mechanism of cyclic electron flow in cyanobacteria - from proteins to function We are opening a post-doctoral position at the Laboratory of Photosynthesis to study key proteins and protein
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are interested in collaborative and keen candidates that have a strong background in winter limnology, cyanobacteria and cyanotoxins, and comparative limnology. A significant portion of this research will be
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School of Agriculture and Food Science. As part of the Horizon Europe-funded SMACC+ (Sustainable Microalgae and Cyanobacteria-Based Bioactive Compounds for Cosmeceuticals and Nutraceuticals), UCD seeks
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of use. In a context of climate change, ecosystem eutrophication, and alterations in hydrological regimes, algal blooms defined as massive proliferations of algae or cyanobacteria in surface waters
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water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2