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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through
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(CML-IE) and Environmental Biology (CML-EB). Presently, about 150 fte (including postdocs and PhDs) are employed at CML. CML further collaborates with TU Delft and Erasmus University in the Leiden-Delft
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technologies and drone-based measurement platforms are creating new opportunities to study the composition of the atmosphere at unprecedented spatial, temporal and vertical scales. In this position, you will
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educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative
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. Both signals and responses occur over time, in a dynamically changing landscape. The goal of this position is to investigate information transfer in dynamical systems, ranging from molecular
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for a part-time (fixed-term, 0,8fte) Post-doctoral researcherwith focus on Financial colonial history and an expertise in archives. The position is available for 18 months within the project COLFIN
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, under the supervision of Prof. K. Hooman and Dr. E. Zanetti. The position is part of the HyCarb project, which aims to support the sustainable production of carbon-based chemicals through
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waste. Job description As nuclear energy is set to play an increasingly important role in the Netherlands' energy transition, there is a growing responsibility to safely manage radioactive waste in
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deposition (ALD) technologies for next-generation perovskite-silicon tandem solar cells. The position is embedded in the Photovoltaic Materials and Devices (PVMD) group, in close cooperation with TU Delft
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well-being, accessibility, safety, and social cohesion, and translate multi-site data into comparative insights and practical tools for cities and practitioners. What you will do In this Postdoc position