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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded
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the following documents: a motivation letter stating your motivation to apply for the position and your key qualities relevant for this position; an up-to-date curriculum vitae; contact information of two
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information, see also our diversity policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https
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, including flexible scheduling. Please visit our websites for more information about our terms of employment: https://www.cwi.nl/jobs/terms-of-employment and https://www.nwo-i.nl/en/working-at-nwo-i
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Location ESTEC, Noordwijk, Netherlands Our team and mission The Data Handling Section provides functional support to ESA projects and carries out technological research and development (R&D
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
Science approaches to data and insight gathering within the PEDs. Alongside producing required project outputs, you will also be expected to publish scientific outputs. This work will include: Performing a
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or a related engineering field. Industry experience in the domain of engineering is a strong plus; Experience with bio-microfluidics engineering (Computer-Aided Design and micromilling), biosensing and
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to the ground segment and operations domains, for the procurement and delivery of data systems in support of ESA’s Space Safety Programme, and as a matrix support provider to ESA programmes and mission operations
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) or PostDoc researcher to join our Industrial Engineering & Business Information Systems (IEBIS) section at the Faculty of Behavioural, Management and Social Sciences. This position allows you to contribute
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will work with existing FH patient cohort data sets from France, Portugal, Czech Republic, and Turkey, which will be expanded with multi-level multi-omics data, including genetic, transcriptomic