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expertise: Bioinformatics experience A PhD student with bioinformatics experience will generate and analyse complex microbiome sequence data to complement existing rumen microbiome datasets. Via multi-omics
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English language – spoken and written Nice-to-have: Work experience in cryo-electron microscopy and data analysis Good communication and interpersonal skills Motivation and a collaborative mindset What we provide
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, stratosphere, troposphere), Further develop the Lagrangian transport model FLEXPART as required for this application; Perform case studies and compare simulation results with measurement data, e.g., as obtained
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications Must be admitted to a graduate degree program Be in good
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be an advantage: Programming and data analysis experience Experience with working on high-performance computers What we offer: Research freedom: Develop your own ideas within the project’s broad scope
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Status: Closed Applications open: 5/09/2024 Applications close: 31/12/2025 View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by CSIRO
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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply
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the project fits the scope of Baekeland mandates. Every year in January there is an information session at which the VLAIO programme coordinator explains the modalities of the call. The exact date and link for
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only deal in facts. We collaborate widely and generously and deliver solutions with real impact. Further information about the CSIRO Industry PhD Program can be found at: www.csiro.au/iphd How to Apply
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, please include the following information: Your personal details for processing the application. A copy of your passport and, where relevant, include evidence of settled or pre-settled status. Your personal