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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical
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when the status quo concerning relations of dominance is openly questioned? To answer these questions, the project will rely on both cross-sectional survey data, population-based experiments, and small
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groups of Guinea baboons that are part of a community of more than 400 individuals. We combine behavioral observations, analysis of ranging patterns using GPS data, population genetics, acoustic analyses
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer’s disease or Parkinson’s disease. The candidate will use state-of-the-art in silico protein structure prediction
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people with severe disabilities will be given preferential consideration if they have the same qualifications. Please note our data protection information for applicants [pdf-Datei] . We look forward
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well as new projects. The position may additionally involve implementing data analytics, including machine learning. The successful candidate will have a Ph.D. or equivalent degree in Bioengineering
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Professor Akane Kawamura Akane.Kawamura@newcastle.ac.uk For more information on the School of Natural and Environmental Sciences, please click here . To apply, please complete the online application and
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Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data