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contribute to a positive and constructive working environment by active participation and be open to interdisciplinary work across the width of the department and its collaborators. Contact Information
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data sets, programming (preferably in R
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and invited for interviews. The position remains open until a suitable candidate is found. For further information and questions, please send an email to Roosmarijn Vandenbroucke .
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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metal bearing mudstones and carbonates Core logging and sample selection Place results in a 3D context e.g. using modelling software such as Leapfrog Develop a paragenesis from all stage of diagenesis
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part of a starting lab, you’ll play a central role in shaping a positive lab environment. We’re especially looking for someone ready to take on a leadership role, who enjoys mentoring students, working
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A postdoc position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof. Narcis-Adrian
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development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we will benefit from