2,760 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United States
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; contribute to the mentoring of trainees within the lab; publish peer reviewed manuscripts and contribute to funding proposals. Educational Requirements • PhD in Chemistry, Bioinformatics, Computational Biology
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. Write manuscripts, develop research goals, and mentor student. Qualifications: Appropriate PhD. Ability to stand for extended periods to perform laboratory duties. Ability to lift and move heavy objects
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Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate starting August 15, 2025. This position is for a post-PhD trainee preparing for a career path as
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD. Doctorate-level degree (or foreign equivalent) in a field relevant to human brain imaging
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with various methods that can incorporate domain-based constraints and other types of domain knowledge into machine learning and applying these techniques to problems in computational creativity
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Department: Computer Science Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops
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and implement computational techniques in processing neuroimaging including CT and MRI modalities. Demonstrated ability in big data analytics and machine learning techniques. Expert ability in
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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to use a computer and software effectively to create databases, perform statistical analyses, present data, and perform other computer-related tasks, including competence in one or more modern programming
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic