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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
other renowned researchers within the Faculty of Natural Sciences and SEAMPHONI project consortium. Role Overview: As the Postdoc for the SEAMPHONI project, you will focus on mapping and identifying
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reproduction: Mapping women’s short- and long-term health Effects). The FEMME project consists of three work packages related to fertility treatment: Cardiovascular disease, cancer and mental health. Research
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software skills Proven experience with CFD automation, e.g. using PyFluent or similar Python APIs for meshing, solver control, post-processing and data management. Solid experience programming in Python
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of the project is to map these states with Scanning Tunneling Microscopy/Spectroscopy (STM/STS) and where possible, angle-resolved photoemission spectroscopy (ARPES). Your work will focus on the spectroscopy, and
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pMHC multimers Functional evaluation of T cells General knowledge related to cancer immunology and antigens Experience with T cell epitope mapping and ligand predictions Immunology: T cell recognition
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of the project is to map these states with Scanning Tunneling Microscopy/Spectroscopy (STM/STS) and where possible, angle-resolved photoemission spectroscopy (ARPES). Your work will focus on the spectroscopy, and
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, professional development, and supervision within reproductive and female-related epidemiology. The postdoc(s) will be affiliated with the FEMME project (FErtility and Medically assisted reproduction: Mapping
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includes social network analyses to map the news influencer ecosystem and interviews with news influencers. Profile 4: Law / Digital Media Regulation Research includes analyses of EU regulatory frameworks
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screening discoveries with single-cell multi-omics approaches in the lab to map candidate repressive mechanisms across cell types and developmental trajectories. These activities will be carried out in close
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for predictivemodelling and large foundation models for earth systems. Skillsetssuch as programming in Python/R, Google Earth Engine, JavaScript, database management environments, Geographical AI, and machine learning