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The International Center for Translational Eye Research (ICTER) is a multi-investigator center for eye research related to imaging, biochemical and genomics techniques to support advances in understanding the etiology and treatment of human blinding diseases. Further information on the research priorities and current expertise of our Center can be found at http://www.icter.pl.

The group is led by Dr Marcin Tabaka (PI) and leverages high-throughput single-cell RNA and ATAC sequencing to address fundamental questions in biomedical research (https://tabaka-lab.org).

We have an open Ph.D. position in machine learning/bioinformatics with a focus on the analysis of high-throughput single-cell transcriptomics/epigenomics data and developing new analytical and scalable computational tools thereof. The candidate should have a strong background in math and computer sciences. No medical or genomics background is required, just inclination to acquire such knowledge is a must.

• Participation in research projects and attendance at team meetings to share results
• Develop and implement novel machine learning algorithms for analysis of high-dimensional single-cell genomics data
• Design and execute data analysis strategies of biological data
• Collaborate with experimentalists
• Design and lead independent projects
• Prepare and write scientific papers
• Active participation in conferences and grant applications
• Supervision over students

• Full-time employment contract
• Opportunity to work in an innovative scientific environment
• International cooperation with experienced researchers
• International training at world-leading research institutes
• Competitive salary
• Access to well-staffed core facilities

• M.Sc. degree in Math, Statistics, Computer Science, Bioinformatics, Computational Biology or related quantitative discipline
• Background in statistics and machine learning
• Proficiency in Python and/or R
• Familiarity with Unix command-line tools
• Knowledge of bioinformatics tools for genomics data analysis is a plus
• Excellent communication and organizational skills
• Ability to work independently and interact effectively in an interdisciplinary team
• Proficiency in English, both spoken and written
• Good communication skills
• Involvement in student and professional organizations, participation in conferences is a plus.

• Familiarity with statistics and machine learning  
• Proficiency in Python and/or R                
• Familiarity with Unix command-line tools
• Prior experience in analysis of high-dimensional data                              
• Competences of the candidate with respect to specific tasks in a research project                               
• Previous educational/scientific achievements 
• Awards and distinctions