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degree in the scope of the project “MixIng-Tox – Ingested nanomaterials and metal mixtures in food: developing integrated strategies to support human health risk assessment and regulatory frameworks
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, computer engineering, applied mathematics, civil engineering, environmental engineering, or related areas. Knowledge of Python, data processing, analysis, and visualization, time series processing, and
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the 42 plasma samples paired with CSF. Enrich membrane/extracellular particle fractions using the Mag Net protocol. Perform digestion and LC-MS/MS analysis using validated laboratory procedures. Initial
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to be achieved: Development of algorithms for analyzing facial expressions in static and video images. Analysis and evaluation of identity bias in facial expression recognition. V - Initial grant duration
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radio and acoustic telemetry and underwater acoustic sonars. Experience in using Geographic Information Systems (e.g., ArcGis and/or QGis) and statistical analysis (e.g., R-package) to analyze ecological
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(e.g., DNA extraction, quantitative PCR, DNA sequence analysis) Preferred Factors: Will be considered preferred factors: Interest in pursuing a PhD. Previous experience in tabular data processing and
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Europeu de Desenvolvimento Regional (FEDER), Reference COMPETE2030-FEDER-00386800, under the following conditions: SCIENTIFIC AREA Logistics and data analysis. ADMISSION REQUIREMENTS 2.1 General
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– Academic performance in subjects related to data processing and analysis in a clinical context. VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according
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dissemination actions (5%) Knowledge of sampling methods and handling and treatment of environmental matrices, analysis of oxidative and enzymatic stress biomarkers and analytical techniques of UV/Visible
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to communicate and integrate into multidisciplinary work teams Financial component - According to the Table, contained in Annex I to the FCT Scholarship Regulation, approved by Regulation No. 950/2019, published