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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
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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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sensors, physiological measurements, and climatic test facilities Analyse and interpret experimental and physiological data and contribute to the development of models and predictive approaches for
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running PhD project. Partly existing database will be used and extended to develop image processing pipelines and models for the automated evaluation of 3D data sets towards answering clinical research
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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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time-resolved photoluminescence (TRPL), terahertz spectroscopy and transient absorption. Develop and apply data-analysis approaches for correlating results obtained from complementary characterization
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performance in 2D cell culture and relevant in vitro 3D tissue models. Integrate physicochemical and biological data to identify design principles governing delivery efficiency. Collaborate closely with
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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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experiments, collect in situ measurement data and interpret results in terms of reaction products as function of electron beam energy and dose. Ex situ characterization tasks comprise thin film morphology and