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candidates to teach at the introductory, intermediate, and advanced levels, in both classroom and laboratory settings. We are seeking candidates who can demonstrate their experience in teaching or working with
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: multilevel models for longitudinal EMA data, extraction of characteristics/features from physiological data (signal processing), as well as modeling in machine learning. # Data Management and Structuring
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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initial emissions, identify detection thresholds for current instruments and assess requirements for future instruments. The PhD student will learn to use the IPSL climate model, IPSL-CM, and carry out
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Number R260059 Posting Link https://www.ubjobs.buffalo.edu/postings/61971 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.6 Posting Detail
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brings complementary and/or additionally new expertise including AI/Machine Learning-based methodologies that can be developed for virtual ligand screening, reverse virtual screening (target fishing) and
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CNRCountryItalyState/ProvinceItalyCityRomaPostal Code00196StreetVia Romagnosi 18/AGeofield Contact State/Province Rome City Rome Website https://www.istc.cnr.it/ Street Via Romagnosi 18/A Postal Code 00196 E-Mail
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and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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Profile We are looking for candidates who meet the following criteria: PhD in relevant fields: plant sciences, functional genomics, molecular & applied genetics, bioinformatics, artificial intelligence
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/job/295231/phd-research-fellow-in-machine-learning-and-statistics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/295231/phd-research-fellow-in-ma… Requirements Research