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Field
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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
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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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(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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from data from a multimodal sensor. Merging data from multimodal sensors located in different spatial positions: calibration and synchronization. Transforming fused data: sensor fusion and feature fusion
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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asap, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum and quantum inspired algorithms. The tasks will include the design and implementation
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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
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seconds), 2) very compact, allowing a SBEC magnetometer to search for short-range monopole-dipole forces that are out of reach of other sensor technologies and 3) very clean, well-understood systems
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of Group/Project: The Nanobioelectronics and Biosensors group at ICN2 is focused on the development of cutting-edge sensors for various point-of-need applications. The group of Prof. Arben Merkoçi
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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