78 machine-learning-phd-in-netherland Postdoctoral positions at University of Minnesota
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development; and opportunities for outreach and community engagement. Qualifications Required Qualifications: PhD in limnology/oceanography/microbial ecology or related field Preferred Qualifications
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stipend level Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous learning
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• PhD, DDS, DVM, JD, MD or equivalent is required. • Demonstrated motivation and initiative in completing tasks and contributing to team goals • Fluent in English with strong verbal and written
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experiments related to influenza and/or innate immunity 20% experiments related to influenza and/or innate immunity, write grants and papers 10% duties as assigned Qualifications Required Qualifications: PhD in
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required qualifications must be documented on application materials. Required Qualifications: • PhD in Immunology or a closely related biomedical field • Strong scientific knowledge and hands-on experience
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conducting clinical or preclinical proof-of-concept studies Preferred: Experience in physiological signal processing and the application of machine learning to biomedical data Background in computational
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. The role offers exceptional opportunities for professional development, including learning the latest advancements in large language models, translating these innovations to genomic applications, and leading
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to: Understand basic principles of brain functioning across development (i.e. figure out how the brain works) Learn about how neuropsychiatric and other brain-based disorders develop and progress over time
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regular presentations of scientific data and significant contribution to the preparation of manuscripts. Qualifications Required Qualifications: PhD in Cell Biology or related field Preferred Qualifications
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on application materials. Required Qualifications: • PhD in Immunology, Molecular Biology, or a closely related biomedical field • Strong foundation in cellular and molecular immunology, with demonstrated