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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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-sensitivity cortisol sensor for biomedical applications and emotional monitoring Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements Research FieldEngineeringEducation LevelMaster Degree
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programming (Python, MATLAB), neural networks, deep learning or physiological signal analysis. - Minimum of 2 years of accredited professional or research experience in tasks directly related to: AI algorithm
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(bio)sensing. o Knowledge and use of electrochemical techniques. o Any of the following techniques necessary for the use/characterization of (bio)sensor devices: spectrophotometry
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of microwave sensors in planar tecnology. - Experience in electronics design - Publications in papers, book, books chapter, conference proceedings and Journal papers. Benefits: 42.250 € Eligibility criteria
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3 Oct 2025 Job Information Organisation/Company Universidad de Alicante Department Department of Mathematics Research Field Mathematics » Algorithms Researcher Profile First Stage Researcher (R1
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Collaborate with the research group and external partners on cutting-edge atomic and nuclear sensor applications Present research findings at group meetings, conferences, and through scientific publications
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of elements) of the model.; 3) develop an optimization algorithm based on genetic algorithms and metamodels and 4) design functionally graded OC scaffolds using different biomaterials. The doctoral candidate
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circuit boards and solder components. Perform programming of PLCs, single-board computers and microcontrollers. Integrate sensors and actuators with control algorithms to implement a control system. Send