82 machine-learning-phd-in-netherland Postdoctoral positions at University of Minnesota
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Qualifications: PhD in plant science, horticulture, agronomy, or a related field Pay and Benefits Pay Range: $61,008 - $62,000; depending on education/qualifications/experience Please visit the Benefits
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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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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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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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. 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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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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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning
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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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the organization and coordination of research projects. Qualifications Required Qualifications: Candidates with a DVM degree or equivalent foreign degree are eligible to apply. Preferred Qualifications: A PhD degree
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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