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application prior to the application closing date. Why Join Us? Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation over 60
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, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and
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at Kjeller, Lillestrøm. Job description The Martian atmosphere is a dynamic system, shaped by complex physical and chemical processes operating across a wide range of timescales. This PhD project will
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for the position. Preferred selection criteria Experience with shotgun sequencing metagenomic analysis and microbiome profiling of complex environmental samples Experience with statistical modelling and multivariate
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. The successful candidate should have prior knowledge of quantitative methods and experience with the complex designs and data of ILSAs. The PhD Fellow will be embedded in the interdisciplinary Strand 1 group
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in relation to research Ability to communicate complex information clearly to a range of groups including public audiences Good IT skills (including MS Office, email, Teams, electronic survey platforms
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 1 hour ago
on medically relevant materials. Develop methods for growing biofilms on materials with complex geometries. Gain expertise in performing experiments, analyzing data, and interpreting results, using analytical
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environment. Excellent communication skills. Drive to communicate and convey new research results to biologists. Excellent writing skills, capable of synthesizing and expressing complex ideas clearly. Self
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team dedicated to advancing our understanding of novelty and complex traits. The ideal candidate will be someone who can not only contribute to the project but also bring their own unique ideas and
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complex datasets (e.g., imaging, molecular, functional readouts) and clearly communicate findings. Present experimental results and project updates at internal meetings and contribute to data-driven