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Field
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of cool star high-energy environments at its core, developing a generalised framework for characterising time-resolved stellar spectral energy distributions, flare populations, and particle environments
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publishing high-quality research papers in top-tier conferences and journals. Proficiency in advanced programming and computational modeling tools (e.g., Python, distributed systems). Good written and oral
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and distribute the monthly Art Collection newsletter and host once a month pop-up exhibition. Other Information: This is a full-time, 9-month, benefits eligible, non-exempt position: August 24, 2026
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, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Research Fellow/Senior Research Fellow to
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: Harvard T.H. Chan School of Public Health Position Description: The Department of Epidemiology at the Harvard T.H. Chan School of Public Health studies the frequency, distribution, and determinants
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that are internationally leading. The faculty has approximately 3,000 students and around 500 employees, distributed across the faculty administration and six departments: the Department of Electrical Engineering and
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years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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models Applying imaging modalities to support drug distribution and efficacy studies Collaborating with national partners across a multidisciplinary research network This position offers a unique
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background Preferred Qualifications • Experience with GPU programming, shaders, or advanced rendering techniques • Experience integrating external APIs or live data streams • Background in distributed systems