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of domain-specific data and knowledge. Develop new tabular foundation-model approaches where existing pre-trained models are insufficient, with a particular focus on transferability across heterogeneous
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral position in microfluidic RNAseq-based screening for optimal T-cell expansion
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, investigating efficient adaptation strategies and the use of domain-specific data and knowledge. Develop new tabular foundation-model approaches where existing pre-trained models are insufficient, with a
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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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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 components to automate
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will closely interact with experts in microfluidics and bioinformatics, while spearheading the above project. Main duties and responsibilities include Optimization of single-cell sequencing workflows
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, he/she will be responsible for overseeing the in vivo testing, optimization and functional verification of optoelectronic devices based on µLED’s assembled on compliant substrates. The Postdoc will
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preclinical tumour models, depending on experience and relevant training. ● Prepare buffers, media and reagents and maintain commonly used laboratory stocks. ● Contribute to the development, optimization and
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-responsive drug carriers from proof-of-concept toward clinical translation. Successful candidates will develop and optimize carrier formulations, assess drug loading and release performance, characterize
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responsibilities The postdoctoral researcher will lead the technical and quantitative core of the project. Responsibilities will include: Developing, implementing, optimizing and troubleshooting immersive behavioral