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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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from exercise-trained donors can counteract Alzheimer-related pathology in experimental models, and we lead clinical trials testing exercise and “exercised plasma” as treatment strategies (e.g
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Develop soft, 3D-printed hydrogel bioelectronics for next-generation neural interfaces. Job description A 4-year PhD candidate position is available in the research group of Achilleas Savva in
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domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively remove the influence of specific data from trained models becomes critical. Yet, despite the EU’s
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structured doctoral training and individual career development. MSCA funding covers a 36-month employment period. At host institutions where the doctoral programme is designed for four years, additional
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) for the first three years followed by fees and maintenance grant for a further six months. Scholars also receive fee-paid teacher in Higher Education training through the Associate Fellowship Scheme. Criteria
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the underlying biological mechanisms in humans remain poorly understood. Our group has shown that plasma from exercise-trained donors can counteract Alzheimer-related pathology in experimental models, and we lead
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and treatment of adrenal diseases. Digital medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new
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disorder with debilitating effects on a patient's quality of life. Because current medications do not work well, we need to study its molecular cause to develop new therapeutics. Recent research identified a
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research