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programme Reference Number AE2026-0170 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0170
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procedures, training materials, and customer service practices to enhance operational efficiency and student experience. Represent the Student Aid & Scholarships Office in a professional manner, fostering an
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: Candidates must also have knowledge/research experience in the following areas: Microbiology and/or Biotechnology Candidates must have: - laboratory experience in isolation, cultivation and maintenance
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to candidates with experience in the fabrication and characterization of naturally layered materials and their exfoliation processes, as well as in the production and characterization of nanodiamonds
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 1 month ago
LevelMaster Degree or equivalent Skills/Qualifications Master's degree in Geography or related fields; Enrollment in a PhD programme in Geography or related fields; Experience in GIS, Spatial Modelling, and
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the preparation and implementation of experiments investigating spatial summation of pain. Recruit study participants and organize the research process in accordance with ISO standards. Conduct experimental studies
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areas, and Master's degree in Biology, Chemistry or related areas. Experience in aquatic ecology and in the study of migratory species; experience in sampling fish fauna in freshwater environments using
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, DOI https://doi.org/10.54499/UID/06349/2025 (UID/06349/2025), funded by the Fundação para a Ciência e Tecnologia. Work plan: 1. Write a systematic literature review on the influence of psychological
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, Genetics, Microbiology, or related fields; - Suitability of the candidate's training and experience to the objectives of the work to be developed. Desired Profile: - Experience in molecular biology
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skills Knowledge of best practices, policies, procedures and standards relating to data management and data lifecycle practices for academic research Knowledge of and experience with data analysis tools