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Description Two PhD positions in atmospheric selenium research: field & lab analyses and process-based modeling We are seeking two highly motivated and curious PhD students to join the Inorganic Environmental
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-to-end virtual supply chains. This project also aims to optimize other thermal processes using digital twins, such as thermally-steered drug delivery processes for applications in oncology. PhD position
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, based on measured air temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to optimize other thermal processes
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product quality attributes, such as remaining shelf life. Process measured sensor data of commercial cold chains, analyze data for variability, and reformat data in databases. Use the simulation-based
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designing to new neuromorphic circuits with enhanced modulation properties, for real-time processing and learning of sensory processing tasks such as biomedical signal processing and adaptive sensorimotor
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, or intelligent systems. Prior experience with embedded platforms, signal processing, or model compression is a plus. We value creativity, curiosity, and the ability to connect ideas across disciplines. The PhD
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functionalized lignin as a precursor for carbonaceous structures – Produce optimized ink formulations for laser-induced graphitization processes using functionalized lignin oligomers – Characterize the materials
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of tissue mechanics, cell polarization, and morphogenetic processes at unprecedented scale. Job description Your role will include: Extending SimuCell3D with advanced numerical solvers for reaction-diffusion
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PostDocs in the group to express and characterize enzymes, develop analytical assays, and engineer enzymes using cutting-edge experimental and computational tools. Within the framework of BiONiX, you will
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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy