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of parametric studies, analysis and optimization of solutions based on acoustic metamaterials; - participation in the evaluation of the application of the developed concept, namely through the simulation of real
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, with applications ranging from scientific research to medical imaging and marketing analysis. With the ever increasing amount of learning data, these algorithms face computational challenges
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consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each parameter. In this process abstentions are not allowed. In
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grant benefits should also be attached to the application. VIII.II- Other documents to attach when applying: Any other elements the candidate considers relevant. Motivation Letter VIII.III - All
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the collection and analysis of animal and clinical datasets, including echocardiographic studies with simultaneously recorded invasive pressure measurements. These data will be used to develop, calibrate, and
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validation of the solutions being created. Activities will include the selection and integration of sensors and data acquisition systems, the implementation of algorithms for data compression and analysis, and
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physics - Peter Švec ml. - electron microscopy and metal physics- Peter Švec st. - magnetism and metal physics - Mario Ziman – quantum foundations and quantum information technologies For contact
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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. Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage. Experience with experimental fluid mechanics, laboratory
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the candidates according to their classification consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each parameter. In