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proficiency in written English is a requirement. As a formal qualification, you must hold a PhD degree (or equivalent). The following knowledge and skills will be seen as assets: Experience in leading coastal
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partners and will innovate new mechanisms to secure future computing systems at lower costs and performance overheads. About you You should possess a PhD/DPhil in Engineering, Computer Science or other
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quantitative biomedical sciences. Experience with R and/or Python packages Experience working with Linux, including shell scripting Preferred Qualifications: PhD or MD/PhD degree in Bioinformatics, AI machine
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of, a PhD/DPhil in biological sciences and have relevant experience in biochemistry, protein purification and microbiology. You should be able to work independently and have enthusiasm to creatively think
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, and a cover letter explaining career and scientific training goals. Minimum education requirements: PhD with an experience in mouse genetics or stem cell culturing. St. Jude Children's Research Hospital
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fixed-term for 12 months. The project start date is 1st January 2026. The RESILIENT PoC will focus on the engineering of mechanically durable and optically efficient coatings/films/paints, which may be
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reporting. Candidates must have a PhD in MatSE and experience in mechanics of materials, computational modeling, and experimental characterization of materials. Candidates should submit a CV and cover letter
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on two current ongoing PhD projects, design and test methods that selectively stimulate flatfish to emerge from the sediment, facilitating their capture in the net. Together, the two Postdocs will develop
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to independently design and execute experiments Proficiency in analyzing reaction mechanisms and kinetics Experience with air-sensitive materials and advanced characterization techniques Job Family Postdoctoral Job
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support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across