8 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Empa
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candidate needs to be highly proficient in spoken and written English and hold a Master's degree. S/he will participate in writing scientific publications and presenting data at national and international
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relevant in vitro 3D tissue models. Integrate physicochemical and biological data to identify design principles governing delivery efficiency. Collaborate closely with researchers from the Laboratory for
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts
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. The project aims to develop foundation models that can learn from heterogeneous tabular data across buildings and district-scale energy systems and transfer across systems, operating conditions, and
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into devices. Your tasks Operation of different laser platforms Conceptualization and setup of optical systems Hardware synchronization and data acquisition Conduction of experimental campaigns
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novel setups (hardware integration, CAD design, assembly, etc.) Software development (data acquisition and processing, system communication) Your profile FH/University degree (Master or PhD) Acoustics
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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heterogeneous tabular data across buildings and district-scale energy systems and transfer across systems, operating conditions, and downstream tasks. The position combines Empa UESL’s expertise in developing