[CPM-SPIRE-L] Postdoctoral and Graduate fellowships in algorithms for cancer genomics @ Sahinalp Lab, NCI/NIH (Bethesda)

[Cenk Sahinalp]

Dear Combinatorial Pattern Matching Researchers,

Multiple postdoctoral fellowships and graduate fellowships in algorithms and their applications to computational cancer genomics are available in my lab at the newly formed Cancer Data Science Lab at the National Cancer Institute, National Institutes of Health in Bethesda, MD - in the suburbs of Washington D.C.

I am looking for candidates with a strong background and publication record in provably correct algorithms and their applications to computational biology. We have experience and interest in combinatorial pattern matching, combinatorial optimization and especially methods that exploit the sparsity of solutions, resource bounded algorithms, i.e. sketching methods for streaming data and algorithms for compressed data, parallel and distributed algorithms, cryptographic and information theoretic applications. We have a strong interest in the use of fixed-parameter tractable algorithms, approximation algorithms, parallel algorithms and machine learning approaches for solving hard combinatorial problems emerging in genomics.

I am specifically interested in single cell genomics, intratumor heterogeneity and tumor evolution, resolving genomic sequence ambiguity, especially in the context of multi-copy genes are repetitive genomic regions, lncRNAs and their interactions, cancer networks and pathways, and algorithmic techniques for improved compression, mapping and secure/privacy preserving genomic analysis. For more information, please visit the lab page<https://ccr.cancer.gov/cancer-data-science-laboratory>.

Applicants should have a Ph.D. in computer science, discrete mathematics, operations research, computer engineering, electrical engineering, bioinformatics or computational biology, with a strong background in one or more of the following: combinatorial algorithms, data structures, sketching and streaming algorithms, combinatorial optimization, statistical machine learning, information theory, parallel and distributed computing, cryptography and computer systems security - as well as interest and curiosity in computational problems in cancer genomics.

Please send a brief introduction with a CV including a publication list, and the contact information of three references to: cenksahinalp at gmail.com<mailto:cenksahinalp at gmail.com> or nadia.nimley at nih.gov<mailto:nadia.nimley at nih.gov>.
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