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) Knowledge of surface modification techniques such as laser processing; d) Experience in the analysis of materials and surfaces; e) Experience in in vitro assays for bacterial and cellular evaluation
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recognition processes; c) preference is given to candidates with prior research experience in the synthesis and characterization of materials by advanced techniques. Workplan and objectives to be achieved
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carried out include the pre-processing of spatial and temporal data and the implementation of Machine Learning models for the classification of fishing activity. The grant holder will also support the
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completed at the deadline for applications, including those resulting from academic degree recognition processes. Preferential Requirements: Proven experience in numerical simulation, namely CFD applied
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Identification Number of the fellow identified in the contractualization process. Other benefits: Reimbursement of Voluntary Social Insurance, if the candidate chooses to receive it, corresponding to the 1st level