36 software-defined-network-phd Postdoctoral research jobs at Northeastern University
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QUALIFICATIONS PhD in Biochemistry, Molecular Biology, Plant Biology, or a related field; Proven experience in the field of plant medicinal natural product biochemistry; Proficiency in molecular cloning, protein
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field
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Laboratory management Train graduate and undergraduate students Qualifications: Candidates should have a strong record of recent accomplishments in dat analysis and in detector hardware or software. A Ph.D. or
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junior-level researchers in the laboratory. Qualifications A PhD degree with a focus in pharmaceutics, pharmacokinetics, pharmacology, biomedical or chemical engineering, or other related field. Hands
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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Preparing and presenting talks to the scientific community to disseminate research results QUALIFICATIONS Applicants must have (or be about to receive) a PhD in physics, biophysics, systems biology, applied
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molecular dynamics, docking (e.g., IFD), metadynamics, and free energy perturbation (FEP) techniques. Construct and contribute to the development of software tools for simulation and analysis. Integrate and
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(5%) REQUIRED QUALIFICATIONS Degree – Minimum of PhD degree in Physics, Biology, Bioengineering, or Chemistry is required, or in a field that is relatable to the Nanoscale Biophysics Laboratory’s
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for publication ● Pursuing independent research projects in conjunction with the focus of the labs Qualifications ● PhD in a field falling within the social, behavioral, cognitive, and/or environmental sciences
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) to reach larger and traditionally underserved/understudied populations. We aim to understand cognitive diversity (broadly defined), to create tools to measure function and to implement training based upon