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researchers to design and develop a wide range of innovative projects, for example involving causal inference, machine learning, text analysis, or large-scale data integration. You support ODISSEI users via
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learning meet in the heart of a global city. We’re the state’s premier public urban research university with more than 100 in-demand, top-ranked bachelor’s, master’s, and doctoral degree programs. We partner
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an active role in other projects and activities within the Smart Materials Lab and assist in supervising undergraduate or PhD students. Applicants must hold a PhD with at least 3 years of experience in
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their appointment. PhD in Nutritional Studies, Nutritional Epidemiology, Public Health, or a related field. Strong background in research methods, including intervention studies and/or clinical trials. Experience
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in autonomous systems such as ground and aerial vehicles, and mobile robots. This includes: formulating and solving long-standing multiterminal information theory problems using modern machine learning
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. 3 or more years of demonstrable experience in machine learning theory. Excellent teamwork and communication skills Fluent in English The candidate who has obtained the highest score in the selection
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, scale and resolution in which in vivo pathways of immune cells can be unraveled. Furthermore, it provides a goldmine for training causal machine learning models to move towards precision medicine
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Department Name 81080:ENTOMOLOGY Work Location Lexington, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education PhD in Entomology or a related
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background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme https
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biology skills Experience with single-cell RNA-seq analysis Experience with machine learning based methods Have evidence of scientific accomplishment via peer-reviewed publications Understanding of cancer