81 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"OSU" Postdoctoral positions at Northeastern University
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details, visit https://sdonglab.org/ . The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding. Minimum
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proceedings. Knowledge of systems programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications
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chemistry or a related field, strong programming and machine-learning skills, and a solid foundation in organic or physical organic chemistry. Experience in computational chemistry, cheminformatics
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supervision of a senior scholar. Knowledge of commercial FEA package Abaqus and the programming language Python. The successful candidate will have a good knowledge of numerical implementation of
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models and practical solutions for communication systems. Familiar with programming language including Python and MATLAB. Proven research and academic writing experience, including the preparation of
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an equivalent programming language Ability to work independently and across disciplines Key Responsibilities & Accountabilities Develop catalytic and/or electrocatalytic routes and materials for
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and operate catalytic reactors Ability to synthesize and characterize catalysts Proficiency in Python programming Ability to apply machine-learning methods to scientific data Ability to work
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. https://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials
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biochemistry, genetics, microbiology, and cell biological approaches. For more information check the Saavedra lab website: https://www.saavedralab.com The successful candidate for this role will join a
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI