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resource efficiency and reduce environmental impacts in metal industries. The MPRR research team specializes in the elucidation of reaction mechanisms and kinetics using experimental studies and process
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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cutting-edge research is conducted to optimize resource efficiency and reduce environmental impacts in metal industries. The MPRR research team specializes in the elucidation of reaction mechanisms and
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what you will do You will carry experimental work in the lab, from bibliographical research, setup and protocol design to data analysis. We ask you to become independent by taking initiatives and
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, our work is aimed at creating spaces for collaboration, critical analysis, reflection, and learning. We are an equal opportunity employer and value diversity at our university. We do not discriminate
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genomic datasets. You are familiar with cloud computing or high-performance computing environments. You have knowledge of meiotic recombination, genome analysis, or pan-genomes. Additional Information
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dry fractionation and agglomeration trials to improve functionality of legume ingredients? Do you want to understand rheology of hydrated ingredient blends to predict extrusion behaviour for meat
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conducting fieldwork, and in performing molecular labwork. You have a demonstrated ability to work with R for data analysis. Experience with, or a keen interest to learn, the analysis of metabarcoding data
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processing, convex optimization, distributed processing, machine learning, and tensor analysis. Our applications span various domains, including audio and acoustics, wireless communication, radio astronomy
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Postdoctoral Researcher in Gravitational Wave Astroparticle Physics (GRAPPA, University of Amsterdam
, talks). It is a preference if you additionally have experience with GW source/environment modelling, post-Newtonian/perturbative methods, cosmological simulations, or GW data analysis. This is what we