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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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energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system optimization models. Investigate how tabular foundation
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optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification
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-Lab in Neuchâtel, within an international and multidisciplinary research environment with strong links to the photovoltaic industry. Main duties and responsibilities You will develop and optimize PV
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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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system serving as a real-world lead-optimization case study. The successful candidate will play a central role in the computational and AI components of the project and work closely with our international
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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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projects focusing on OLED science and chemical synthesis, providing an excellent opportunity for scientific exchange and collaboration across disciplines. Your tasks Fabrication, optimization, and
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probes for cryo- SPM Development and optimization of wafer-scale micro- and nanofabrication processes, including integration of sensing, actuation and electrical functionalities Mechanical, electrical and
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devices (OLEDs) Your tasks Fabrication, optimization, and characterization of NIR-emitting OLED devices Close collaboration and active scientific exchange with project partners Analysis, interpretation, and