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advanced degree (PhD) in physics, applied mathematics, chemistry or electrical engineering, and should have a background in experimental quantum systems. Experience with magnetic resonance, Hamiltonian
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candidate should have a PhD in analytical chemistry or pharmaceutical sciences. They should have strong hands-on experience with developing, validating and implementing assays for quantitative compound
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: Qualifications: Ph.D. degree in electrochemistry, chemical science or materials science Proven experience working in an academic or industrial lab setting on electrochemical systems Have an in-depth understanding
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graduate students in disciplines relevant to chemical risk assessment (e.g., toxicology, chemistry, endocrinology, AI/machine learning) and governmental staff presently involved in chemical risk assessment
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are hiring chemists with a background in polymer synthesis, organic chemistry, lipid synthesis, biomaterials and/or bioengineering. Candidates must have a Ph.D. in chemistry, biomedical engineering, chemical
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are hiring chemists with a background in polymer synthesis, organic chemistry, lipid synthesis, biomaterials and/or bioengineering. Candidates must have a Ph.D. in chemistry, biomedical engineering, chemical
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and graduate students in disciplines relevant to chemical risk assessment (e.g., toxicology, chemistry, endocrinology, AI/machine learning) and governmental staff presently involved in chemical risk
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Train junior laboratory members Qualifications The successful candidate should have a PhD in analytical chemistry or pharmaceutical sciences. They should have strong hands-on experience with developing
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to start doctoral studies in Chemistry, Physics, Electrical Engineering or Computer Science. Fellowships will initially be for one year, but may be extended for a second year. Eligibility Applicants
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: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within