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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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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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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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designated with the name and surname of the candidate and must not exceed 5 MB combined. These files can be compressed into .zip format. 16.7. Failure to comply with the deadline for submission
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must not exceed 5 MB combined. These files can be compressed into .zip format. 16.7. Failure to comply with the deadline for submission of the application set, failure to submit or submission after
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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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. Implementation of agents for mMTC. Experimentation with a developed prototype and analysis of results comparing them with state-of-the-art approaches. V - Initial grant duration: 3 months V.I - Renewal Possibility