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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
Infrastructure? No Offer Description Applications are open for 1 Research Studentship, within the framework of project/R&D institution EuPRAXIA PP - G.A. 10107977, 1801P.01238.1.01 IST-ID, financed by European
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Agro-Hydro-System", CC 9299", taking place at the R&D unit LEAF-Linking Landscape, Environment, Agriculture And Food, of the Instituto Superior de Agronomia, for the development of the tasks described in
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, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing the contract. Note: In the case of masters who are enrolled in non-academic degree
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on the 1st of the month. ◊The predoctoral fellowship provides an amount of 6.860€ in total to support covering expenses derived from carrying out stays in other R&D centers and enrollment in a university PhD
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) - Knowledge in programming languages like R or Python for data manipulation and analysis - Experience in quantifying plant metabolites with LC-MS - High level of self-sufficiency - Reliable and conscientious
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, aimed at carrying out R&D activities for students enrolled in a PhD Degree, in the area of Logistics Management, Operational Management, Transport and Logistics or related areas, within the scope
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or soon to be finished Background in protein design, computational biology or related field Working knowledge in at least one relevant coding language (Python, R, or C++) Excellent communication skills and
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of scientific publications. Documented experience in conducting register studies and managing large datasets. Good knowledge of Stata/R. Previous experience of working in multidisciplinary research groups. Basis
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Python or R, and experience in the Linux environment Experience with large-scale data analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake
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evaluated based on the motivation letter and the interview. Work plan: To carry out R&D activities under the project “Digital Person – AI-enhanced person-centred illness assessment and management at distance