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6. of this Notice. Preferred factors: Knowledge in machine learning and programming (Python), deep learning (e.g., tensorflow, pytorch) and time-series modeling in marine ecology applications
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mixed reality (MR) strategies to blend information derived from machine learning and computer vision processes to the workers' expertise. The objective of this project is to develop and evaluate MR
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academic degree, lasting 6 months, possibly renewable for up to a maximum of 12 months, starting in November 2025. 2. WORK PLAN AND WORKPLACE: Workplan: The work will focus on the analysis of data on plant
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inmates; statistical data analysis; and drafting of scientific outputs.. I.4. Gross monthly wage: 2.351,53€, euros, corresponding to remuneration level 33 to the single remuneration table, approved by
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management and coordination of various tasks; Conduct research in the areas of sensory and consumer sciences; Systematic and critical review of scientific literature in the areas of sensory analysis, digital
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regardless of the used technology, on the mechanical properties. In silico analysis by computational fluid dynamics analysis. I.4. Gross monthly wage: 2.351,53€, corresponding to the 1.st position, wage level
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learning models. b) Experience in using data analysis software (e.g., SPSS, JASP, JAMOVI) and R and/or Python programming. 5. Workplace: The workplace is located at the Center for Psychology at University
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, preferentially Campylobacter jejuni. - Experience in Protein purification. - Experience in RNA extraction, RNA-Protein Interactions. - Experience in analysis of RNAseq data. - Experience working with Ribonucleases
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from October 1st 2025 to December, 10th 2025 (03:00 p.m., EST) Machine Learning (ML) , applications open from October 1st 2025 to December, 10th 2025 (03:00 p.m., EST) Neural Computation (PNC
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research; d) Experience in conducting basic and advanced quantitative data analysis and proficiency in using statistical software, such as SPSS, R, or STATA; e) Proficiency in Portuguese and English, both