139 assistant-professor-computer-science-data Postdoctoral positions in United-States
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, including epigenome-wide association studies (EWAS) and causal inference methods. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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opportunity to engage in cutting-edge interdisciplinary research focused on Generative AI within the context of construction robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in
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techniques. Preference will be given to candidates with experience screening large yeast collections and computational biology expertise. Research Overview Polyploidy, or the presence of three or more sets of
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. The candidate is expected to work in theoretical condensed matter, quantum information science and related fields (e.g. correlated systems, light-matter interactions, non-equilibrium dynamics, quantum simulation
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, and administrative assistance supporting various research projects and will be responsible for the evaluation and interpretation of research data, for planning and executing the details of analyses
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or equivalent faculty positions. The program will provide independent NIH research support during this transition in order to help awardees to launch competitive, independent research careers. Prospective
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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opportunity to engage in cutting-edge interdisciplinary research focused on Construction Robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated
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. Proficient in oral presentation and paper/grant writing. Certificates/Credentials/Licenses PhD in Biomedical Science, Immunology, Regenerative Medicine, Biology of Aging, or a related field. Computer Skills