59 parallel-computing-numerical-methods Postdoctoral positions at Northeastern University
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multidisciplinary and highly collaborative research team and will lead research projects tailored to the candidate’s interest. The candidate will also have numerous opportunities for career and professional growth
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using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological, genetic, and computational methods
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programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University
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. One or more of the following is a plus: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence
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education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University offers a comprehensive range of
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the manipulation of air-sensitive chemicals including Schlenk line and glovebox techniques. Experience with the synthesis and characterization of porous materials including solvothermal methods, powder X-ray
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education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University offers a comprehensive range of
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, primarily using existing theories and methods. Assists the supervisor in the interpretation and publication of results and grants. Maintains the laboratory and may exercise functional supervision over
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an interest in the effects of exercise on cognition, experience with behavioral or neurocognitive data, the ability to effectively manage a research team, and experience in quantitative methods and
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal