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Field
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background of the candidate (experience in ecological work and data analysis); A.2: (40%) Knowledge and experience in: Preparation and execution of field trips for water sample collection in lentic ecosystems
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 25 days ago
(40%); -Bachelor's Degree Classification (30%); -Knowledge of Geographic Information Systems and Remote Sensing (20%); -Letter of Motivation presented by the candidate for the task, where it is
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experience must be appropriate for the objectives of the work to be carried out; preparation of technical and scientific documents in the field of bioinformatics and biostatistics; knowledge of machine
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%) Knowledge and experience in: - Laboratory maintenance of freshwater organism cultures, particularly invertebrates and macrophytes; - Ecotoxicological assays under controlled conditions using bacteria
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presented by applicants, using existing knowledge of federal, state, and institutional regulations. Verify student applications and assist with fund calculations, awarding, and packaging on computerized
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Information Systems and Technologies, Data Science, Information Management or Computer Engineering; Solid programming knowledge, particularly in Python and Bash scripting; Knowledge and practical experience
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successful recruitment, retention, and completion of Workforce Education students and for delivering assigned projects based on agreed targets and objectives, on time and within budget. Required Knowledge
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(Exempt) Position Type Staff Position Summary Overall responsibility for delivering assigned project based on agreed targets and objects, on time and on budget. Required Knowledge, Skills, and Abilities
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’ certifications Experience working in the EPIC electronic medical record system Experience working in the OnCore research management system Knowledge of Good Clinical Practice (GCP) guidelines and FDA regulations
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, of August 16. 2.2 – Specific requirements: Academic background: Bachelor’s degree in Environmental Health or related areas. 2.3 – Preferential factors: Preference will be given to applicants with knowledge