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environmental impact. Developing new methods for pest and pathogen control is therefore essential to safeguard human health and meet the challenge of increasing crop yields, while reducing the use of chemical
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–based, web-enabled decision-support tool for farmers, using machine learning (random forest) predictive models. Working closely with the PhD student and PIs to ensure rigorous model development
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and development, supported by the Operational Program AlzHeal - Promoting metabolic homeostasis and neuroregeneration in Alzheimer’s disease with retinoid signalling (COMPETE2030-FEDER-00755200), in its
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Develop collaborative relationships with faculty and researchers across Harvard schools and engage substantively with research communities at the Kempner Institute for the Study of Natural and Artificial
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20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation
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, analysing or securing network services, including real-time communication infrastructures. Demonstrated programming experience in multi-language development environments, combining backend services, web
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research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future
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telehealth psychosocial interventions for advanced cancer, pain coping skills training for older adults with breast cancer, and a web-based program (PainTrainer) to improve pain and medication adherence in
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the development and delivery of a course or training module aimed at QDOC students nationally. The duration for each position is one year, with the possibility of extension for an additional year. While