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Field
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large ensemble data. Knowledge of Regional Aerosol Model Intercomparison Project datasets and protocols. A strong track record of published and/or submitted manuscripts on hydroclimate topics. Strong
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experience in Oxford Nanopore Technologies (ONT) sequencing and bioinformatics A track record of research in microbiome science, metagenomics, whole genome sequencing, big data analysis, machine learning, and
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packages, including deliverable preparation, milestone tracking, and communication across the consortium. What we offer We offer a dynamic and supportive research environment within an internationally
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. The successful candidate will have an opportunity to lead and contribute to a range of exciting collaborative projects and develop new projects.PhD in a relevant field is required. Strong track record
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chemistry and have a proven track record of publishing in field-leading peer-reviewed journals. You have experience with mentoring of students, and you have the ambition to drive your own research project(s
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/interpret the validity of data, develop methodologies, and design and evaluate lab procedures. •Maintain supplies, may require negotiation with vendors, and track purchase orders. •May oversee the work
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with a track-record of publications and supportive mentorship. The PI and applicant will work together to achieve research and career goals in a supportive environment. The position provides
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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must be able to demonstrate an excellent track record in one or more areas of AI. You will be expected to design, conduct and manage original research and deliver innovation projects in AI applied in
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, and wireless communications Proven track record of publications in relevant IEEE journals and conferences Extensive experience in physical layer algorithm design and performance analysis In