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Field
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Collaborative at the University of Michigan, School of Public Health is seeking a highly motivated researcher to support and expand the work of the Collaborative in the areas of youth development, mental health
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questions into robust machine learning implementations, including preprocessing, model training, validation and deployment is part of your role; collaborating enthusiastically with domain specialists and
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will be responsible for the follow : (full details of duties available from the Job Description) Research Collaboration and engagement You will have completed a PhD in machine learning, computer science
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teamwork and communication skills Demonstrated potential for original or collaborative scholarship Ability to acquire accurate, reproducible data Critical eye towards consistency, reproducibility, and the
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. Ability to work effectively in a collaborative environment. Strong technical and academic writing skills. willing and able to acquire new skills as needed to support the research projects. Proficient and up
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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international visibility through scientific publications, research projects and international collaboration. The position also contributes to teaching, the supervision of emerging researchers and the
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international visibility through scientific publications, research projects and international collaboration. The position also contributes to teaching, the supervision of emerging researchers and the
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visibility through scientific publications, research projects and international collaboration. The position also contributes to teaching, the supervision of emerging researchers and the dissemination