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description of the project Faculty recruitment [Work content and job description] Principal duties: [Immediately after hiring] Education and research at the Graduate School of Fisheries Sciences and School
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 25 days ago
conducted within the Ecology and Modelling for Fisheries (EMH) laboratory of the HALGO unit, part of the DECOD Joint Research Unit. Members of the laboratory develop knowledge and methods supporting
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; job category: pre-doctoral researcher) to collaborate with the project “Sustainable and ecosystem-based approach for fisheries through the utilization of technology to uphold resilient environments
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foundation necessary for informed fisheries management decisions and improved understanding of ecosystem structure and function. Key Responsibilities Taxonomically identify stomach contents of marine fish and
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reports acceptable to the Principal Investigator and funding agencies Other duties as assigned Unit URL https://www.uidaho.edu/natural-resources/research/fish-wildlife-coop Position Qualifications Required
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and Unit Description: The Department of Natural Resources and the Environment is one of the pioneer departments of natural resources in the nation and known as a center for fisheries research
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Institute of Oceanography and Fisheries, Split, Šetalište Ivana Meštrovića
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 2 days ago
of marine biodiversity loss, 4) Proposing tools for marine biodiversity conservation and anticipating emerging risks, 5) Promoting sustainable marine fisheries and aquaculture, 6) Develop a digital ocean to
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system (intestine and liver). Where to apply Website https://selezionionline.cnr.it/jconon/ Requirements Additional Information Eligibility criteria A PhD degree relevant to the scientific field
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techniques applied to heterogeneous datasets. The project will contribute to improving knowledge on biodiversity and supporting sustainable fisheries. It is co-supervised by Ifremer, INRAE, and UPPA