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- Universidade de Coimbra
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- Associação Fraunhofer Portugal Research
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of curricular units 3 - Knowledge of algorithms and artificial intelligence models applied to the prediction of student dropout (e.g., GPT, decision trees, k-NN, neural networks) 4 - Knowledge of techniques and
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Group at Fraunhofer Portugal AICOS and contribute to ongoing research in topics related to digital endpoints and the generation of real-world evidence through digital devices, such as wearables, sensors
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the project team members of the consortium, to optimize the applicability of the developed sensors, microfluidics and integrated systems SCIENTIFIC SUPERVISION The PhD thesis will be supervised by Prof. João
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. Develop and implement safety protocols and emergency procedures for reactor operation. Collaborate in the implementation of the control and automation system, including the installation of sensors and
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of Coimbra opens a call for the assignment of a research grant, with one position(s), under the project COMPETE2030-FEDER-00864900, title PULSE - Reliable Pervasive mULti-Sensor cardiac Examination. The call
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to be achieved: Development of algorithms for analyzing facial expressions in static and video images. Analysis and evaluation of identity bias in facial expression recognition. V - Initial grant duration
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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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materials, sensors assembly and evaluation of their pyroelectric performance. Legislation and regulations: Law no. 40/2014, updated by Decree-Law no. 123/2019, of 28 August (Statute of Scientific Research
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with