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Portable Document Format (.pdf) to facilitate their reading. The files must be named with the applicant’s first and last name and must not exceed 25 MB altogether. These can be compressed in .zip format. 8
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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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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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discussion of results with the team. e) Iteration and improvement of the NUTLY 2.0 tool prototype, incorporating collected evidence and technical recommendations, in coordination with other project members. f
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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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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 2 months 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