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Information: The Department of Chemistry in the College of Arts + Sciences at Indiana University, consists of a well-rounded research community with cutting-edge expertise in a wide variety of modern
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models for prediction and recommendation Job Requirements: Preferably PhD in Computer Science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as
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sensing data (satellite, LiDAR, drone or aerial imagery), strong geospatial analytical skills, and proven field and/or laboratory experience in land use change, ecosystem dynamics, biodiversity
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will be preferred. Requirements: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields Prior experience and proficiency
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to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability
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of Big Data Analytics, particularly within a research environment, would be advantageous. The role requires a strong track record of high-quality academic publication, including publications as first
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benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Minimum
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novel analytical pipelines, tools, and methods to study cancer multi-omics data Develop foundational methods and resources for the integration of single-cell and clinical transcriptomes Establish
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and impact models into a unified tool that provides actionable insights for decision-makers under stress. About You: You will hold a PhD or equivalent research experience in a relevant discipline such
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to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication