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to engage with stakeholders and partners across the water sector Strong analytical and coding skills within a package such as MATLAB, R or Python. Ability to use initiative, and apply creativity, to solve
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completion to deadlines. Develop scripts and data processing pipelines using R or Python, leveraging advanced expertise for data processing, model development, and data visualization. Work with senior staff
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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mimicked with in vivo models of metastasis, which provides unique opportunities to mechanistically dissect what drives the different cell states. You will link clinically relevant phenotypes to putative
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medicine treatment and governmental policy. The ideal candidate will have a strong background in data science, particularly in transforming datasets and creating / maintaining data pipelines across different
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workbench for chiplet assembly Generation of FE models for different chiplet configurations using the workflow Research and identification of suitable Python modules for Ansys FE modeling automation Use
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research teams from different scientific cultures (ecology, physiology and ethology, chemistry and subatomic physics) develop very high level programs based on scientific instrumentation. The IPHC is
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individually, make a real difference. The role A research fellow position is available to work on the project “Dynamic and Adaptable Monitoring of Greenhouse Gas Emissions with Robots” funded by the UKRI Natural
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of hydrological data and modelling Ability and enthusiasm to engage with stakeholders and partners across the water sector Strong analytical and coding skills within a package such as MATLAB, R or Python. Ability
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different operating systems (Windows, Ubuntu). • Perform a regular backup of data and application systems. • Working with other parties (e.g., vendor, provider, ...) for the deployment and