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of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in data monitoring in the context of intelligent systems 3. Work Plan: i) Develop mathematical modeling systems
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) Publications in the area of Microbiology, biofilms, biochemical markers and molecular tools – up to 4 points, Publications in other areas – up to 2 points c) Research Experience in the project area – up to 4
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non-degree course, must be submitted by the time of contract signing. Apply online clicking on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition/8404 After
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Engineering or related fields; ii) Suitability of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in projects in the area of Agriculture 4.0 3. Work Plan
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.ICDT (https://doi.org/10.54499/2023.16314.ICDT ), funded by the Portuguese Foundation for Science and Technology (FCT), I.P., in the following conditions: Type of Grant: Research Grant for a PhD student
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
expected to begin in August/2026 and to be renewed. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos
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conservation of the forest elephant species (Loxodonta cyclotis). Where to apply Website https://www.cibio.up.pt/en/jobs/ Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Skills
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
to the maximum of 15 months, including the duration of the initial contract It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https
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of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in monitoring health and comfort data in the context of intelligent systems. 3. Work Plan: i) Develop
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specific requirements: a) Experience in the application of data analysis and machine learning methods to scientific data (e.g. multivariate analysis, chemometrics, neural networks, classification