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Associate positions in Clinical Health Psychology. Appropriate candidates will have obtained a doctoral degree (PhD or PsyD) from an American Psychological Association (APA) or Canadian Psychological
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of the art computer technology, exceptional students and staff, and a network of world-renowned scientists. The Neuromotor Behavior Laboratory (directed by Dr. Seidler) is an interdisciplinary, productive, and
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research, generating publications, contributing to grants and progress reports, and mentoring junior personnel in the lab. Successful candidates must have a PhD in chemistry/chemical biology. This position
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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, Environmental Science, Computer Science, or a closely related field Strong programming skills in Python or R Experience with machine learning and deep learning applied to geospatial data Demonstrated ability
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Psychology, Work and Aging, or Big Data/Machine Learning/Quantitative Methods are especially encouraged to apply. The candidate will have opportunities to collaborate on research projects with faculty and
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Minimum Requirements: PhD in related field (chemistry, biochemistry, biology) Preferred Qualifications: Experience with high resolution mass spectrometry especially in lipidomics and metabolomics Excellent
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://casbr.biochem.med.ufl.edu/). Competitive salary, career development, and advancement opportunities are available. Expected Salary: $60,000-$70,000; commensurate with education and experience Minimum Requirements: PhD in
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offers an epidemiology PhD, Master of Science, and concentration in the MPH program. It is also home to two National Institutes of Health Training grants (T32). Faculty members are strongly supported by