Master, PhD & Postdoctoral Positions in Bioinformatics, Genomics, Systems Biology & Precision Medicine, University of Calgary,Canada (2016)

Applicants for 2 postdocs and 3 full-time graduate student positions in Bioinformatics, Genomics, Computational Biology, Systems Biology and Precision Medicine are invited to join Wang Lab (http://www.cancer-systemsbiology.org) and Long Lab (http://www.ucalgary.ca/bmb/profiles/dr-quan-long) at University of Calgary Cumming School of Medicine, Calgary, Canada.

These two Labs work on both computational and experimental work. The candidates are expected to involve in big data analysis, machine learning and deep learning, algorithm development in next-gen sequencing, genomic analysis and evolutionary studies. The candidates are expected to interact with a multi-disciplinary team of scientists with background ranging from omics, drug design, imaging engineering, statistics, computer science, clinics to bioinformatics.

The objectives of the studies are to understand biological systems (such as signaling, gene regulation, protein interaction networks, metabolic networks and their dynamics in cancer progression) and develop practical applications through mathematical and statistical analysis, machine learning and deep learning, numerical simulation and integrating large amount of internally and externally experimental datasets including genomic, functional genomic, next-generation sequencing, microarray, and proteomic data. The candidate is expected to be able to develop new algorithms to make sense of these data and construct predictive models for precision medicine applications, and predicting phenotype based on genomics.

Qualifications for postdoctoral candidates:

A PhD in bioinformatics, systems biology, computer science, statistics/math, or theoretical physics. Required skills: (1) Strong programming skills in one or more of the following programming languages: Perl, Python, Java, C/C++; (2) Knowledge in probability theory, statistics or pattern recognition. It would be an asset if the candidate has knowledge of and experience with: graph and network theory, microarray and proteomics data analysis, next-generation sequencing data analysis, biological networks, numerical analysis, simulation, control, and information theory, and R programming.

Qualifications for candidates of MSc and PhD students:

A BSc/MSc in bioinformatics, systems biology, computer science, statistics, math, or theoretical physics. Required skills: (1) Strong programming skills in one or more of the following programming languages: Perl, Python, Java, C/C++; (2) Knowledge in probability theory, statistics or pattern recognition； (3) The applicants’ GPA and English proficiency (if non-native speaker) must meet the requirement of the university (http://www.grad.ucalgary.ca/future/admissions/admission-requirements) and the department (http://www.ucalgary.ca/bmb/GPA, http://www.ucalgary.ca/bmb/English_Language_Requirement).

Further details:
http://www.universitypositions.eu