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must not exceed 25 MB altogether. These can be compressed in .zip format. 8. Evaluation criteria: The admitted applications will be evaluated by assessing the candidates' academic or professional
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supporting documents that the candidate considers relevant to the assessment of his/her merit (if applicable). 18.4. Documents can be integrated into folders with a compressed format (zip, rar, 7z), but it is
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knowledge of, LCA assessments. Additional Information Preferential skills & competences Experience with or knowledge of the following databases and models: EXIOBASE, FABIO, GLOBIO, LC-IMPACT, IMAGE; Previous
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packaged in compressed folders (zip, rar, 7z), but the system's upload limit, which is set at a maximum of 720MB per file or compressed folder, must be taken into account. Each application may submit
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also attach any other documents they consider relevant to assessing their merit. 16.6. The documents can be integrated into folders with a compressed format (zip, rar, 7z). However, it is necessary
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Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
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in image-based classification tasks is expected. Working knowledge of QGIS, along with proficiency in numerical and data manipulation libraries such as NumPy, and visualization tools like Matplotlib
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
. Project summary and work plan The work plan associated with this fellowship is focused on developing complex organ-on-a-chip systems, compatible with functional imaging techniques and integrating sensing
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-degree course). - Experience in fluorescence microscopy and image analysis. - Experience in analysing neuronal morphology and synaptic alterations BIs awarded to MSc who attend courses that do not confer
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the aim of this position such as scientific research, statistical analysis. Knowledge of multiphoton microscopy, immunofluorescence, RNA-ISH, confocal microscopy and image quantification will be valued