80 machine-learning-phd-in-denmark Postdoctoral research jobs at University of Minnesota
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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
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on application materials. Required Qualifications: • PhD in Immunology, Cell Biology, or related biomedical sciences • In-depth scientific expertise in cell death, macrophage biology, and fibrotic disease
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this position you may also have the opportunity to teach courses offered in our department. These duties would be to prepare and deliver lectures, prepare homework assignments, quizzes and exams, hold office
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duties of a similar scope as assigned. Qualifications Required Qualifications: PhD or equivalent in experimental high energy physics or a closely related field. Experience in instruction at
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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technologies and how their technology use impacts their relationships and well-being, and on the application of machine learning in family and developmental research. The Post-Doc will contribute to Dr. Sun’s
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Qualifications Required: PhD in physics, chemistry, biophysics, biochemistry
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travel opportunities to group meetings, conferences, and training courses. Qualifications Required Qualifications (must be documented on application materials): • PhD in Biology, Chemistry, or related
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learning opportunities through professional training Medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and life insurance
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bioinformatics. Post-Doctoral Associates conduct research and/or service that provides further development of career skills or allows them opportunities to learn new research techniques. They are trained by and