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Field
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Experience: In the development of medical devices in vision sciences. Implementation of psychophysical algorithms for vision. Design and analysis of clinical studies. Experience in functions similar to those
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for information and communication technologies, in particular displays, image sensors and cybersecurity. The main driving goal is to carry out research which bridges academia and industry, by developing fundamental
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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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implementing algorithms based on online Sparse Gaussian Processes and advanced probabilistic techniques enabling AUVs to dynamically alter their trajectories, cutting down on uncertainty and improving efficiency
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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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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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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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campuses and collaborating institutions (e.g. University of Manchester, UK and University of Marseille, France) Consistent evaluation of the bibliography in the areas relevant to the research Regular