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other areas than those mentioned above – 0 points d) Knowledge and experience in: i) analytical methods (SPE, QuEChERS, DLLME) to quantify contaminants using GC-MS/MS and/or LC-MS/MS; ii) statistical
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and master's theses. Master's degree in law or final-year law student with excellent academic results (cum laude or higher). Good knowledge of Dutch, French and English. You have a demonstrable interest
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 5 days ago
methods will be phased, as described below. 3. The evaluation of the "scientific and curricular background" will focus on the relevance, quality, timeliness, specific knowledge, and proven prior
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typical residential setting) based on human-provided instructions. This includes the development of an interface to supply the robot with prior knowledge about the environment. The fellowship holder will
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be assessed according to the following weights and criteria: - Criterion 1 – Absolute merit of curriculum vitae (30%); - Criterion 2 - Specific knowledge related to the work plan (30%); - Criterion 3
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than 14/20 (1 point); B. Knowledge of Interactive Systems Design, Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and Artificial Intelligence, Sensor Networks
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to study teaching and how you intend to apply your knowledge from previous studies in the classroom after completing the Master of Teaching. Submit an application Status: Open for applications
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to provide the supporting documents by the grant contracting stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. 4. Work Plan The work
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
evaluation and an individual interview. Knowledge of both spoken and written Portuguese and English is mandatory. The weighting assigned to each method will be as follows: i) Curriculum evaluation – 75%; ii
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to work (20%) -Knowledge and profile appropriate to the functions to be developed (50%) VII.III- The evaluation of the criteria and the final classification will be based on a scale from 0 to 100, with