58 algorithm-development "https:" "Simons Foundation" Postdoctoral positions at Northeastern University in United States
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for large-scale and distributed systems. The role focuses on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position
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on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position collaborates with faculty, students, and external partners
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for Immune
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Experimental Design & Execution: Develop and execute in vivo studies using murine models to investigate translational mechanisms in muscle biology and inflammatory disorders. Model Development: Contribute
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; Prepare and write research papers; Disseminate the research at international workshops and conferences; and Train graduate students. Position Type Research Additional Information Northeastern University
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, biochemical, and genetic studies to identify and characterize novel natural products with antibacterial activity. Develop and optimize screening assays for natural product discovery, including bioassay-guided
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projects; Prepare and write research papers; Disseminate the research at international workshops and conferences; and Train graduate students. Position Type Research Additional Information Northeastern
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University is seeking a Postdoctoral Research Associate to work on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in