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Medicine to support digital health projects focused on three broad areas: technology-enabled innovations in health practice and education contexts, multi-channel community engagement to support health
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will provide support to research staff and physicians and maintain close interaction with research participants throughout the study process. Organizational Status The Research Assistant will report to
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together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI
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microbiota resilience, including osmotic stress and nutrient availability. This work will contribute to the development of next-generation microbiome interventions, engineered microbial systems, and microbiota
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bibliographic database software, online academic search engines). Ability to learn new computer software functions independently is required. Experience with online literature searches and data entry required
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will work under minimum supervision, receiving specific instructions only on unusual problems or on matters that depart significantly from established policy and procedure. Work Performed Leads
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(CDF) are for applicants who hold a doctoral degree from a non-biological discipline (e.g. physics, chemistry, mathematics, engineering or computer sciences) and who have not worked in the life sciences
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, engineering and math (STEM) fields — as well as those interested in working on projects across multiple mentors are also strongly encouraged. To receive updates about the application process, please subscribe
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publications. Qualifications: Strong academic background in ecology, environmental science, geography, engineering, or a related field (Master’s degree completed or equivalent). Proficiency in at least one of
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, where the clouds and their interactions with mesoscale circulations are simultaneously resolved. The candidate will join a dynamic research group focused on convective-scale processes and their