1,063 data-"https:"-"https:"-"https:"-"https:"-"Linköping-University"-"IFM" Postdoctoral positions in United States
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Field
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; research literature in connection to possible procedures and experiments; modifies experiments to suit the particular research needs. Prepares data for analysis and prepares samples. Obtain original research
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Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. Research experience in at least one of the following areas: ● Chip design
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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techniques. ● Perform biochemical analysis through kinase assay, Western Blotting etc. Data analysis and participate in manuscript writing for publication; may assist in grant writing. ● Perform
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science, information science
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. With this data we have the potential to understand the immunological mechanisms of vaccines and to accelerate efforts to improve their efficacy and get them to the clinic. Qualifications MINIMUM
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data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work
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Posting Information Posting Number FAE1959 Advertised Title Post-Doctoral Fellow Campus Location Main Campus (Memphis, TN) Position Number L22894 Category Full-Time Faculty Department Mechanical
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in high content microscopy and image analysis programs. Familiarity preparing material for single-cell sequencing, comfort working with large data sets. Working knowledge of statistics, proficiency