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Field
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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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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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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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multidisciplinary approaches combining in vivo mini-endoscopic imaging of NSCs in freely behaving mice, in vivo and ex vivo Ca2+ imaging, optogenetic stimulations and behavioral tracking, as well as CRISPR-Cas9 and
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organisations and a successful track record of national and international research projects. You will have a close collaboration with the Food lab at DTU Skylab regarding the product development activities
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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
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in physical layer algorithm design and performance analysis Proven track record of publications in relevant IEEE journals and conferences In addition to the above qualifications, it is highly desirable
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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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/year Tuition Benefit: Employees have access to this benefit on all CU campuses ECO Pass: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage
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water-related datasets ● Proven track record of leading preparation of scientific publications ● Ability and interest in working collaboratively and effectively as part of a research team that includes