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Field
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computational approaches to uncover mechanisms underlying complex diseases and to develop predictive, clinically actionable models. The successful candidate will work in a highly collaborative environment with
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collaborate with partners at ELLIS Institute Finland. Target publications at top-level AI, ML, and NLP venues. Who we are looking for Requirements Ph.D. in Machine Learning, Natural Language Processing
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project This position is part of FiSRE (Towards Resilient 6G Networks, a Swedish and Finnish Joint Undertaking), a Vinnova-funded collaboration between leading Swedish and Finnish universities and industry
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for professional growth through learning, collaboration, networking, and mentorship from Lilly’s leading scientists, aimed at facilitating groundbreaking discoveries. This position is not permanent. It is for a
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project This position is part of FiSRE (Towards Resilient 6G Networks, a Swedish and Finnish Joint Undertaking), a Vinnova-funded collaboration between leading Swedish and Finnish universities and industry
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research experience in immunology, vascular biology, and/or cancer biology Ability to work both independently and collaboratively Excellent written and spoken English skills A strong scientific publication
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well as scientific creativity are essential. Applicants with strong mathematics training are particularly encouraged to apply. The position will also require the ability to collaborate with other researchers on other
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learning models for trait prediction and climate-resilient wheat breeding. Analyze time-series UAV data using crop models in combination with genomic and agronomic information. Collaborate closely with plant
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, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will be based at NYU Abu Dhabi and will directly report to Prof. K.J.Kyriakopoulos, in close collaboration with other
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Position Description Join a dynamic research group focused on (noncommutative) algebraic geometry, with connections to representation theory. This position offers opportunities for collaboration