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, enthusiastic, and collaborative candidates. We employ both basic sciences and engineering approaches to modulate inflammatory responses after neural trauma. Currently NIH-funded projects for postdoctoral
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other to discover, learn and succeed. Dedicated staff and engaged faculty collaborate to further knowl¬edge and understanding, and develop tenacious graduates who are valued for their talents and their
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conceiving new approaches, performing the required analysis/experiments. ● Collaborate with the PI and his group including literature search, presentation of latest research on this topic and utilizing
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collaboration. We also provide active support for developing courses, securing research funding (Danish and EU), and building a strong professional and academic network. Responsibilities You will co-lead the
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scientific excellence. The mission of this unit is to: 1) acquire, characterize, evaluate, maintain, utilize, and distribute germplasm accessions in the genus Glycine; 2) identify genes controlling traits
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reduction may take tens of thousands of steps. We explore whether Reinforcement Learning can help. Terms: - Gross monthly salary: 10,000 NIS (teaching possible for extra income) - Medical insurance
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
sustainable development. Collaborations with Mathematics and Computer Science The post-doc will also affiliate with Lund's Centre for Mathematical Sciences, renowned for research in machine learning
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possible thereafter, with the possibility of extension depending on funding and performance. Job description Your main responsibilities: · Conduct independent and collaborative research into the molecular
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. Our mission is to develop life-changing treatments for glaucoma and other optic nerve diseases that cause irreversible blindness. Learn more about the Snow Vision Accelerator: https
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large