Postdoctoral Associate Positions in Biostatistics

New Haven, CT

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Description

We seek one or two highly motivated Postdoctoral Associates to advance the frontiers of neuroscience simulation. 

Related lab projects include: combining machine learning and mechanistic modeling, multisimulation (interoperation with other tools), high-resolution simulations of subcellular chemical dynamics, and algorithm development (GPUs, initialization, performance enhancements). 

The Postdoctoral Associate will lead one or more of these projects and will present this work at conferences, in publications, and in the form of open source software. Mentorship and career development opportunities will be tailored to the Postdoctoral Associate's interests.

The successful candidate will join the McDougal lab (Biostatistics/Health Informatics, Computational Biology and Bioinformatics, Wu Tsai Institute, Biomedical Informatics and Data Science). We are major contributors to the development of the NEURON simulator and run the ModelDB model discovery platform. We additionally have a wide-range of collaborations at Yale and beyond, applying informatics methods to solve biomedical challenges. 

Qualifications

Applicants should hold or be about to complete a PhD in a quantitative field (e.g., mathematics, computer science), neuroscience, or a related field. Strong programming skills in Python and C are essential, as is scientific excellence as demonstrated through publication history. Experience with the NEURON simulator, in machine learning, numerical methods, and/or GPU computing is desirable, but not required.

Application Instructions

Please apply online.

Interested individuals should submit a CV, cover letter, and contact information for three professional references.

Review of applications will begin immediately and will continue until the position is filled. Initial appointment is for one year with the possibility of renewal. 

Questions regarding this position should be directed to Dr. Robert McDougal at: robert.mcdougal@yale.edu

Equal Employment Opportunity Statement

Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

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Tags: Bioinformatics Biology Biostatistics Computer Science GPU Machine Learning Mathematics Open Source PhD Python

Perks/benefits: Career development Conferences

Region: North America
Country: United States

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