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senior researchers who can be contacted for references. Please prepare documents referring to items 1-4 in English and merge to ONE pdf file. Selection process The decision will be made by the Recruitment
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decision making in SCD, particularly as it related to chronic SCD pain. The lab has received NIH funding to complete a longitudinal study of chronic pain phenotypes in SCD (SPIRIT2). Education: The post
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Postdoctoral or research scientist positions in Parkinson's disease, Alzheimer's disease, and Stroke
novel technologies. We are seeking candidates with a PhD or MD/PhD degree. A demonstrated record of achievements and publications is required. Candidates are expected to have excellent organizational and
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intelligence, decision making, requirements, specifications, implementation and evaluation of prototypes, that will be used by multiple partners, including road authorities. In addition, developing and
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datasets, including scRNA-seq, scATAC-seq, scCUT&Tag, HiC, and proteomics, with an emphasis on trajectory inference, regulatory dynamics, and cell fate decisions. A key goal is to integrate multimodal data
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tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all
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to the consortium fundamental models that provide detailed techno-economic, life cycle and multi criteria decision making analyses of a wide range of processing pathways that include bioenergy and biorefinery systems
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recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in life science in Sweden. Research project The rapid
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research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory
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of AgriLife and make a difference in the world! Position Information Position Description: In collaboration with others at Texas A&M and Texas Tech, our team will rapidly formulate a field-ready