32 phd-mathematical-modelling-population-modelling Postdoctoral positions at Northeastern University
Sort by
Refine Your Search
-
About the Opportunity Job Summary The Wang Lab seeks to advance our understanding of chloroplast function using the model unicellular microalga Chlamydomonas reinhardtii. The research in Wang lab
-
) to understand and address the needs of cognitively diverse populations, ranging from individuals with cognitive deficits (due to disease, injury, or development) to neurotypical individuals across the lifespan
-
, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write
-
collaboration, and other quantum materials, and their modeling and simulation. Projects will include computational discovery of new quantum materials and optical materials and their heterogeneous structures
-
) Provide meticulous documentation, analysis, and summarization of results (including digital/photographic documentation and computational/modeling/analysis as needed) Assist in project management and co
-
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
-
and write research papers, presentations, grant proposals, etc. Assist with laboratory management; and training graduate students. QUALIFICATIONS PhD required in nutrition, bioinformatics, physics
-
and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies
-
that informs the design and evaluation of culturally responsive communication interventions to advance the health and well-being of health disparity populations. The position is for 2 years. Key Responsibilities
-
information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling