16 big-data-and-machine-learning-phd Postdoctoral positions at University of Minnesota Twin Cities
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assessments. The CNS Lab is a vibrant team of cognitive neuroscientists, developmental psychologists, and clinical psychologist. The postdoc will process and analyze data, prepare manuscripts, and assist with
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and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research. The role offers exceptional
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superconducting qubits. The successful candidate will participate in all stages of these experiments, from initial concepts to device fabrication, measurements, data discussion and analysis. The successful
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development of career skills or allows them opportunities to learn new research techniques. They are trained by and work in conjunction with a faculty mentor who determines the training agenda. Positions
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% Participation in lab meetings and activities, dissemination of information through writing, presentations, and outreach. REQUIRED/PREFERRED QUALIFICATIONS Candidates must have a PhD in environmental engineering
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required qualifications must be documented on application materials. Required Qualifications: â¢PhD in Retinal Biology, Immunology, Molecular Biology, or a closely related biomedical field â¢Experience with
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application of machine learning to biomedical data ï‚· Background in computational modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications
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related to specific externally-funded projects, including collecting and analyzing data, troubleshooting challenges, and assisting graduate and undergraduate students on the project, as needed. Individually
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understand and preserve lion populations. Travel to Africa is required, along with a strong background of research in this field, as well as a PhD. Create a Job Match for Similar Jobs About University of
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) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use personal protective equipment as per lab requirements. Lab and Data