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open standards and structured APIs. Hosted at TU Eindhoven, OpenML serves over 300,000 users, has supported over 2,000 scientific studies, and won the Dutch Data Prize. We are looking for an excellent
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from clinical specimens; Develop, optimize, and apply DIA- and PRM-based proteomics methods; Perform quantitative data analysis, normalization, quality control, and statistical interpretation
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integrating literature, in-house, and newly generated experimental data Build surrogate and predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and
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of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly
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Qualifications PhD in Civil Engineering, Mechanical Engineering, Applied Mechanics, Materials Science, Physics, or a closely related field by the start date. Strong background in solid mechanics, structural
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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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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
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, laboratory testing, greenhouse experiments, and agronomic validation. Key Responsibilities Develop and formulate new simple and complex fertilizer products Contribute to the optimization of fertilizer
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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. The position is closely connected to our activities within automated quality assurance and structural health monitoring of wind energy components and your work will contribute to the development of new knowledge