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12 Feb 2025 Job Information Organisation/Company Instituto Nacional de Saúde Dr. Ricardo Jorge Department DEP Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1
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Research Grant IMS_BOLSA_RISKGUARD_2025_01 The Higher Institute of Statistics and Information Management of the Nova University of Lisbon – Information Management School (NOVA IMS) is opening a call for the
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Python and R; - Training and knowledge in Remote Sensing (optical, LiDAR and SAR data); - Experience in statistical inference and regression analysis applied to the estimation of forest variables using
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well as statistical treatment of the data obtained. Applicable legislation and regulations: Law N.º 40/2004, of 18 August (Statute of Scientific Research Fellow), amended by DL 123/2019 of 28 August; FCT, IP Research
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response of the olive tree to different deficit irrigation strategies and ApR water; 3) Collecting samples of soil, irrigation water and plant organs; 4) Data collection and statistical treatment; 5
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IMS_BOLSA_LEXA_2025_01 The Higher Institute of Statistics and Information Management of the Nova University of Lisbon – Information Management School (NOVA IMS) is opening a call for the award of 1 (one) research
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); d) Experience in statistical data analysis (0 to 20 points); e) Motivation letter (0 to 20 points). 9.4. Candidates who score 50 points or less will be excluded from the AC stage. 9.5. The following
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activities. The following will be considered preferential factors: (1) experience in database management and statistical data analysis; (2) experience in proofreading texts for publication, including technical
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ASSOCIACAO ISCTE CONHECIMENTO E INOVACAO - CENTRO DE VALORIZACAO E TRANSFERENCIA DE TECNOLOGIAS | Portugal | 3 months ago
Proficiency in data analysis, statistical modeling, and machine learning techniques. Experience with sensor data acquisition and processing. Strong programming skills in languages such as Python. Familiarity
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and managing biological samples; Knowledge of statistical data analysis; Experience in density-based sample fractionation (e.g., blood); Experience in flow cytometry for cell analysis. 4. Work plan: 4.1