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education, the scientific and technological production, the activities of crucial research, applied or based on practice, the activities of extension and dissemination of knowledge and the science management
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Education Institutions. Preference factors: Experience working with ROS, C/C++ programming, and PCB design Minimum requirements: Master's Degree in Electrical and Computer Engineering and related areas 5
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the specific scientific area of the grant ; - Develop appropriate methods for the study in question ; - Develop research skills through the application of selected methods ; - Exercise critical thinking in
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courses of Higher Education Institutions. Preference factors: Python, C++ Minimum requirements: Experience in Augmented reality systems 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection
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industrial equipment for the production of clothing.; - Develop models that describe the behavior of the flexible object during manipulation operations, for use in simulations that allow the training
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Learning Operations) platform that enhances researchers' ability to develop superior Machine Learning models through faster, more automated, and efficient processes. This platform will be based on a cluster
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software, an IDE for programming microcontrollers and knowledge of signal processing algorithms, the aim is to develop the prototype of a new wearable device. This device will be tested and calibrated
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Qualifications: Degree in Secretarial or relevant area for the function. Minimum profile required: Higher education in secretariat; Minimum 2 years of professional experience in similar functions. Fluency in
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: Renewable Energy Communities and smart grids Project overview: Develop tools and applications for the management of energy communities and all their assets, enabling the user (community members, community
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INESC TEC is accepting applications to award 1 Scientific Research Grant - HfPT - CBER (AE2024-0180)
The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Training in signal processing publication