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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
regions of the world, and at the same time impact the climate positively utilizing CO2 as raw material. To be launched into scaled solutions, the technology needs to be optimized through leveraging digital
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., VAEs, GANs, transformer-based models) to large-scale biomedical and biological data, including developing and optimizing models to predict disease progression and create realistic patient profiles
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Large-scale and in-depth characterization of optimized Channelrhodopsin variants for basic research in neuroscience and future optogenetic therapies Automated (Syncropatch384, Nanion) and manual patch
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for application in biocatalysis. Enzyme kinetic analysis. Development and optimization of multi-enzyme cascade reactions. Disseminating project results through scientific publications and conference presentations
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, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks
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the international visibility of the research group. Contribution to methodological and technical innovation: You will develop and test novel technical approaches, optimize existing methods, and actively foster
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neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical
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:1074-84). We also discovered that abiraterone works by conversion to a more active steroidal metabolite (Li, et al.Nature. 2015;523:347-51), that metabolism is pharmacologically modifiable to optimize
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strong interest in applied AI in bio-medical settings several years of experience in data analysis / machine learning / AI as well as, optimally, multi-omics integration, lipidomic analysis, and/or single
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be