968 computer-engineering-"https:"-"https:"-"https:"-"C.N.R" Postdoctoral positions in United States
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lysosomal membrane damage in Parkinson’s disease. The selected candidate will apply cutting-edge technology, including high-end microscopy, unbiased screening strategies, organelle isolation and gene editing
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activities ● Present results at collaboration meetings and scientific conferences Required Qualifications: ● Ph.D. in Physics, Astronomy, Astrophysics, Computer Science or a related field by the start date
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, asphaltenes, resins, and kerogen molecules and contribute to engineering design of upscaled processes. The candidate will be a part of the Applied Materials Division (AMD) within AET at Argonne and will
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Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of Chemistry, Chemical Engineering, Mechanical Engineering, Materials Science, Electrochemistry, or a related
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the field of glioma. The current project is interrogating the role of ATRX in immunotherapy response using murine and cell line models, including genetically engineered lung cancer model. Cell line model
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materials from complex feedstocks to achieve the desired product quality and form. As a part of this team, you will: Apply electrochemical engineering principles to develop processes such as oxide reduction
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postdoctoral trainee at St. Jude, you will have: A Blend of Academic Freedom and Industrial Efficiency: Access to shared resources and facilities led by expert scientists, coupled with cutting-edge technology
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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students. Collaborate with multidisciplinary teams and external partners in academia, government, and industry. Minimum Qualifications: Ph.D. in Chemical Engineering, Materials Science, Chemistry
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during