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Field
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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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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
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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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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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composite propellers. Competence in the measurement and analysis of guided waves. Experience with embedded piezoelectric sensors in composites. Strong mathematical background and experience with numerical
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data management and flexibility in city districts. The main tasks of TU Delft, to be carried out in co-operation with the other project partners, will be: Investigation on and analysis of spatial and non
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with analysis of proteomics data is essential. You are highly motivated, creative and willing to work with human postmortem brain tissue and Parkinson model systems. Within this project most