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staff; and Excellent verbal, writing and analytical, organizational and attention to detail skills, computer literacy and general electronic communication skills. Proficiency in R, SQL Content area
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the reconstruction of fungal secondary metabolite pathways in a plant host. The project is highly interdisciplinary and will require knowledge and experience of molecular biology, cell biology, and analytical
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Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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Postdoctoral Researcher -Discovery and Bioengineered Production of High-Value Plant Natural Products
for publication in peer-reviewed journals, presenting data at conferences, and contributing to the success of the team. Required qualifications: • PhD degree in Plant Biochemistry, Analytical Chemistry, Plant
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Centre at University College Cork. The ideal candidate should be a quantitative, analytical researcher with a PhD in engineering, science, or economics, or a field related to energy, and a demonstrated
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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, neural engineering, and data analytics. Among the key duties of this position are the following: Collecting behavioral and electrophysiological data in the clinical environment. Writing replicable code
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of Medicine who are inventing and deploying advanced analytics and knowledge integration approaches. The goal of building this community is to make the Anschutz Medical Campus a leader in translating data
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related engineering fields. The candidate should have skills and experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation