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to emerging or re-emerging diseases. Proficiency in programming languages such as Python, R, SQL, or similar tools for data analysis and model development. Experience in working with large and complex datasets
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran
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or Python. Lastly, candidates should have experience performing human subjects experiments. Application Material: Curriculum Vitae with pointers to your research/expertise-related online profiles (e.g
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, policymakers, and advocates. Programming skills are essential (we mostly work in Python, though other languages are welcome), as is a strong grasp of statistics and an eagerness to learn more. Recommended
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researchers from different fields. Ability to undertake substantially full-time research or scholarship; work under the supervision of a senior scholar. Position Type Research Additional Information
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-meditation, motivational interviewing, meta-cognitive coaching, and multi-modal interventions). The applicants should have the relevant methodological expertise to investigate individual differences
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. This opportunity will involve working on an NIA-funded project to understand how individual differences in the structure and function of the locus coeruleus moderate perception and memory in an older adult
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. Ability to communicate and coordinate with multiple senior researchers from different fields. Position Type Research Additional Information Northeastern University considers factors such as candidate work