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researcher. 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
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interpret experimental and physiological data and contribute to the development of models and predictive approaches for human thermal responses. Communicate scientific results through peer-reviewed
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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 and
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HF, including chelating ligands, reactive nanoparticles and additives Optimize melt-spinning, uniaxial stretching, and post-treatment steps to control sheath porosity and ion diffusion Acquisition
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synthesis and characterization. Familiarity with cell culture and in vitro assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English
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nanoparticle uptake, transfection, and biological performance in 2D cell culture and relevant in vitro 3D tissue models. Integrate physicochemical and biological data to identify design principles governing
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to develop image processing pipelines and models for the automated evaluation of 3D data sets towards answering clinical research questions. The project is highly interdisciplinary and is carried out in close
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of molecular mechanisms of disease development. Your tasks We are looking for a highly motivated candidate with genuine interest in biomedicine and a strong proficiency in data analysis. In this project, we
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laser platforms Conceptualization and setup of optical systems Hardware synchronization and data acquisition Conduction of experimental campaigns, evaluation of results and reporting Your profile PhD
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development (data acquisition and processing, system communication) Your profile FH/University degree (Master or PhD) Acoustics/Electronics/Engineering or equivalent Experience: Acoustics (active, passive