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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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analysis software (such as SPSS, R, or Python); - Knowledge about sustainable pratices in the food sector; - Proficiency in English (written and spoken); - Ability to work collaboratively in
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Psychology with older adults, preferably in contexts involving psychological assessment, intervention, or ongoing support; - Specialized training in Neuropsychology; - Proficiency in statistical analysis
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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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, according to optimized procedures: 1. Sample collection using gelatin and/or cellulose membranes, with the use of Legacy pumps (SKC). 2. Sample preparation. 3. Analysis of the concentration of agents such as
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 4 days ago
analysis including writing of technical-scientific reports. 4. Legislation and official rules: Law nº. 40/2004, 18th August (Research Fellowship and Studentship Regulation) in its current version
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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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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