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The objectives of the position are to support the research team in the MagTecSkin project on the following tasks: Support the activities for electronic interfaces for the magnetic sensor chips. Testing
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. The objective of the activity includes the provision of services related to precision agriculture, involving the use of sensors and drones coupled tomultispectral cameras in fields producing soft wheat (Triticum
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clinical data and machine learning algorithms. The main activities include: Data Processing: • Collection of historical patient data (demographics, clinical history, outcomes of interventions). Data cleaning
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clinical data and machine learning algorithms. The main activities include: Support for AI Model Development: • Collaborating on the training of predictive models under the supervision of the scientific team
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suppliers and purchase of components; 2. Prototype development and validation in the laboratory; 3. Design of test scenarios using different food formulations provided by project partners; 4. Verification and
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13 (5 points); Bachelor Degree classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks
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classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks, Hierarchical Decision and Control Systems with main
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. Implementation of signal detection algorithms and triangulation ; 4. Planning and participating in field tests to evaluate system performance; 5. Reporting and disseminating the work developed (ideally with a
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in different programming languages applied in the field of biology; knowledge of machine learning, biostatistical analysis, database creation and implementation; proficiency in English (written and
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mineral deposits) Preferential factors: (1) Knowledge of geochemistry, in particular, major elements and potentially toxic elements in different geological materials, (2) Analytical experience in