Job ID: 5867
Job date: 2018-01-08
End Date:
Company : Queensland University of Technology Country : Role : Student
Job date: 2018-01-08
End Date:
Company : Queensland University of Technology Country : Role : Student
Job Description:
Looking for highly motivated bioinformatics students interested in pursuing their PhDs through ATN-LATAM Research Scholarships. The candidate will be supervised by Dr Shivashankar Nagaraj and based at Queensland University of Technology, Brisbane. Eligibility and Selection criteria 1. Be able to commence studies in 2018. 2. Be a citizen of one of the following countries: Brazil Argentina Chile Colombia Peru Ecuador Paraguay Uruguay. Successful applicants will receive: 1. Full research tuition fees scholarship for 3 years with possible extension to 3.5 years 2. Stipend valued at a minimum of AUD 30,000 pa for 3 years with possible extension to 3.5 years 3. Contribution to removal costs to Australia 4. Health insurance Research Project: Modeling circulating tumor DNA in blood as a time series model for early prediction or recurrence of cancer The DNA released into the circulatory system due to the death of a tumor cell is called as circulating tumor DNA (ctDNA). ctDNA is emerging as a promising noninvasive biomarker for cancers such as breast, colorectal, and lung, as these fragments of DNA carry the genetic mutations specific to the tumors. With the revolutionary sequencing technologies, it is now possible to periodically monitor and analyse the ctDNA through liquid biopsy of the blood. Screening the blood regularly provides the opportunities to diagnose cancer in its early stage as well as get real-time insights on tumor burden, cancer evolution, drug response, and recurrence. However, utilizing such diagnostics in a clinical setting to predict and guide therapy necessitates accurate and robust computational modeling of the ctDNA data. In this PhD project, we will develop a machine learning based software to model ctDNA as a time series model that can be used by clinicians to detect the presence of cancer. Qualifications: An ideal candidate will have a Master’s degree in bioinformatics, computer science, science, engineering or biology with the demonstrated aptitude for bioinformatics research. Strong and demonstrated programming skills in at least one language (e.g., R, Python, Perl, Java) are essential. Previous experience in analysis of NGS data or mass-spectrometry data is highly desirable. Working knowledge of web programming and experience with the Unix operating system is also strongly desired.
Additional Info:
Start date: June 01, 2018 How to Apply: Please send Cover Letter, your CV, the copy of the academic transcripts, and a one-paragraph statement of research interests to Shivashankar Nagaraj. Contact: Dr Shivashankar Nagaraj shiv.nagaraj@qut.edu.au[Click Here to Access the Original Job Post]
Looking for highly motivated bioinformatics students interested in pursuing their PhDs through ATN-LATAM Research Scholarships. The candidate will be supervised by Dr Shivashankar Nagaraj and based at Queensland University of Technology, Brisbane. Eligibility and Selection criteria 1. Be able to commence studies in 2018. 2. Be a citizen of one of the following countries: Brazil Argentina Chile Colombia Peru Ecuador Paraguay Uruguay. Successful applicants will receive: 1. Full research tuition fees scholarship for 3 years with possible extension to 3.5 years 2. Stipend valued at a minimum of AUD 30,000 pa for 3 years with possible extension to 3.5 years 3. Contribution to removal costs to Australia 4. Health insurance Research Project: Modeling circulating tumor DNA in blood as a time series model for early prediction or recurrence of cancer The DNA released into the circulatory system due to the death of a tumor cell is called as circulating tumor DNA (ctDNA). ctDNA is emerging as a promising noninvasive biomarker for cancers such as breast, colorectal, and lung, as these fragments of DNA carry the genetic mutations specific to the tumors. With the revolutionary sequencing technologies, it is now possible to periodically monitor and analyse the ctDNA through liquid biopsy of the blood. Screening the blood regularly provides the opportunities to diagnose cancer in its early stage as well as get real-time insights on tumor burden, cancer evolution, drug response, and recurrence. However, utilizing such diagnostics in a clinical setting to predict and guide therapy necessitates accurate and robust computational modeling of the ctDNA data. In this PhD project, we will develop a machine learning based software to model ctDNA as a time series model that can be used by clinicians to detect the presence of cancer. Qualifications: An ideal candidate will have a Master’s degree in bioinformatics, computer science, science, engineering or biology with the demonstrated aptitude for bioinformatics research. Strong and demonstrated programming skills in at least one language (e.g., R, Python, Perl, Java) are essential. Previous experience in analysis of NGS data or mass-spectrometry data is highly desirable. Working knowledge of web programming and experience with the Unix operating system is also strongly desired.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- Master's Degree in Engineering
Skills :
- Bioinformatics
- Lunix/Unix
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
Areas :
Additional Info:
Start date: June 01, 2018 How to Apply: Please send Cover Letter, your CV, the copy of the academic transcripts, and a one-paragraph statement of research interests to Shivashankar Nagaraj. Contact: Dr Shivashankar Nagaraj shiv.nagaraj@qut.edu.au[Click Here to Access the Original Job Post]