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will focus on biosafety and in-vivo imaging aspects of the project, and will be hosted by the Functional and Molecular Imaging Group (Prof. Razansky). The second PhD student (this position), hosted by
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researcher will have the opportunity to contribute to the courses taught by the members of the BMIC group, including Image Analysis and Computer Vision and Medical Image Analysis. Teaching is not a mandatory
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automation Develop embedded control systems and support real-time system feedback integration Collaborate with bioengineers to ensure functional compatibility and safe operation Support system validation
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. The project aims to develop quantum communication units on the LNOI platform, including qubit generation, transmission, measurement and drivers as a first prototype of entanglement-based high-speed photonic
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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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processes. Job description We are seeking a highly motivated PhD student to further develop this framework by: Implementing numerical solvers for reaction-diffusion systems Extending the biophysical
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
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/smart, confocal, super-resolution, light sheet microscopy). Knowledge of state-of-the-art image processing and analysis tools and a track record in developing innovative image analysis and data science
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(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and