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, which requires sediment management. The knowledge and tools needed for this pose profound scientific challenges. Your job The aim of the WadSED project is to develop the urgently needed system
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for incorporating scientific constraints, conservation laws, mechanistic models, knowledge graphs, ontologies, and expert knowledge into machine learning systems. Investigate scientific foundation models, surrogate
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or deficit of sand and mud, which requires sediment management. The knowledge and tools needed for this pose profound scientific challenges. Your job The aim of the WadSED project external link is to
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inclusive community which is committed to social good. Our motto Eagna chun Gnímh translates as Wisdom for Action reflecting our mission to contribute to the discovery of new knowledge for a better world
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Information Eligibility criteria The applicant should have a PhD degree (or equivalent) in Computer Science or Mathematics and good knowledge in symmetric key cryptology. Good programming skills are required
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problem-solving and analytical skills High degree of computer and internet literacy, including excellent working knowledge of MS Office Suite Superior oral and written communication skills; ability
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X-ray spectroscopy techniques (time resolved is well appreciated) Good knowledge of programming Knowledge in using programs like Quanty and Quantum Espresso are highly valued Good teamwork skills and
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areas of single cell and spatial omics, ideally with some background or advanced knowledge of tumor immunology. The position is funded by a 5yr R01 newly awarded to our investigator group. The successful
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antibody discovery Good knowledge of single-cell RNAseq workflows such as 10X genomics or DropSeq, experienced in flow cytometry Good knowledge in cell biology and biochemistry Prior experience in
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at workshops and conferences; Publishing (joint) research results; Participating in (the organisation of) knowledge dissemination activities; Participating in meetings and training sessions of the project