Job ID: 5408
Job date: 2016-04-15
End Date:
Company : University of Calgary Country : Role : Postdoc | Student
Job date: 2016-04-15
End Date:
Company : University of Calgary Country : Role : Postdoc | Student
Job Description:
Wang Lab works 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-gene sequencing, genomic analysis and evolutionary studies. The candidates are expected to interact with a multi-disciplinary team of scientists with background ranging from omics, modeling/drug design, imaging engineering, statistics, and computer science, clinicians 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, next-generation sequencing 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 the candidates of PhD students:
A BSc/MSc in bioinformatics, systems biology, computer science, statistics／math, and 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 statistical 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).
The University of Calgary is a leading Canadian university located in the nation’s most enterprising city. The university has a clear strategic direction to become one of Canada’s top five research universities, where innovative teaching and ground-breaking research go hand in hand, and where we fully engage the communities we both serve and lead.
To succeed as one of Canada's top universities, where new ideas are created, tested and applied through first class teaching and research, the University of Calgary needs more of the best minds in our classrooms and labs. We're increasing our scholarly capacity by investing in people who want to change the world, bringing the best and brightest to Calgary to form a global intellectual hub and achieve advances that matter to everyone. Named a cultural capital of Canada and one of the best places to live in the world, Calgary, Canada’s fastest growing major city, offers a vibrant, multicultural and family-oriented environment with a population of more than one million. Situated near the Rocky Mountains, Banff National Park and Lake Louise, Calgary has great quality of life and outstanding recreational activities.
Apply
Interested andidates for PhD/MSc students should submit by email, curriculum vitae, transcripts and research interests (optional) to edwin.wang@ucalgary.ca. Job Information Position Type: PhD fellowship Start Date: September 01, 2016 Duration: Full Time Status: openContact InformationUniversity of Calgary
Edwin Wang
edwin.wang@ucalgary.caHow To Apply:Email
Additional Info:
[Click Here to Access the Original Job Post]
ISCB Job Board
PhD studentships in BioinformaticsUniversity of CalgaryCanada-Calgary Applicants for full-time graduate student positions with assistantships in Bioinformatics, Genomics, Computational Biology, Systems Biology and Precision Medicine are invited to join Wang Lab (http://www.cancer-systemsbiology.org) at University of Calgary Cumming School of Medicine, Calgary, Canada.Wang Lab works 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-gene sequencing, genomic analysis and evolutionary studies. The candidates are expected to interact with a multi-disciplinary team of scientists with background ranging from omics, modeling/drug design, imaging engineering, statistics, and computer science, clinicians 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, next-generation sequencing 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 the candidates of PhD students:
A BSc/MSc in bioinformatics, systems biology, computer science, statistics／math, and 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 statistical 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).
The University of Calgary is a leading Canadian university located in the nation’s most enterprising city. The university has a clear strategic direction to become one of Canada’s top five research universities, where innovative teaching and ground-breaking research go hand in hand, and where we fully engage the communities we both serve and lead.
To succeed as one of Canada's top universities, where new ideas are created, tested and applied through first class teaching and research, the University of Calgary needs more of the best minds in our classrooms and labs. We're increasing our scholarly capacity by investing in people who want to change the world, bringing the best and brightest to Calgary to form a global intellectual hub and achieve advances that matter to everyone. Named a cultural capital of Canada and one of the best places to live in the world, Calgary, Canada’s fastest growing major city, offers a vibrant, multicultural and family-oriented environment with a population of more than one million. Situated near the Rocky Mountains, Banff National Park and Lake Louise, Calgary has great quality of life and outstanding recreational activities.
Apply
Interested andidates for PhD/MSc students should submit by email, curriculum vitae, transcripts and research interests (optional) to edwin.wang@ucalgary.ca. Job Information Position Type: PhD fellowship Start Date: September 01, 2016 Duration: Full Time Status: openContact InformationUniversity of Calgary
Edwin Wang
edwin.wang@ucalgary.caHow To Apply:Email
Requeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- Machine Learning
- Microarray
- Modeling
- Programing in C
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in PERL
- Statistics
- Systems Biology
- Teaching
Areas :
Additional Info:
[Click Here to Access the Original Job Post]