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training and/or experience in the processing and characterization of thin films and sensors. Supporting documents for these requirements must be submitted by the time of the fellowship contract's
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 27 days ago
experience in one or more of the following areas: o Electrochemical sensors and devices o Energy storage/conversion systems (batteries, fuel cells, supercapacitors) o Microfluidic and lab-on-a-chip
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including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Representative
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microelectronics and photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and
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with the technology and design of microelectronics and photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs
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microelectronics and photonic devices, gallium nitride technology, LTCC technology, printed electronics and medical and environmental sensors. Łukasiewicz–IMiF runs numerous projects financed from domestic and
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ventilation systems, active air treatment technologies (e.g. particulate filters, UV disinfection) and sensor networks to monitor and respond to air quality in real time. However, there’s a critical need to
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environment? Do you have a background in active acoustics and are you capable of integrating data from a wide range of sensors? As a postdoc in the Vidi project, you will apply a combination of sea-going
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sensor and display devices is required. Professional knowledge of National Fire Protection Association standards, other related codes and standards, and have the ability to effectively interpret codes
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early detection is a need that needs to be addressed using advanced sensors. The candidate will apply machine learning and IA methods to anticipate the evolution of the discharges. This project aims