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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 position for a PhD student 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 background in math and computer sciences. No medical or genomics background is required, just inclination to acquire such knowledge is a must.

1. Participation in research projects and attendance at team meetings to share results
2. Design and execute data analysis strategies of high-throughput single-cell genomics data
3. Develop and deploy new methods for high-dimensional data analysis and visualization
4. Collaborate with bioinformaticians and experimentalists
5. Design and lead independent projects
6. Prepare and write scientific papers
7. Active participation in conferences and grant applications
8. Supervision over students

1. Full-time employment contract
2. Opportunity to work in an innovative scientific environment
3. International cooperation with experienced researchers
4. International training at world-leading research institutes
5. Competitive salary
6. Access to well-staffed core facilities

1. M.Sc. degree in Math, Statistics, Physics, Computer Science or related quantitative discipline
2. Background in statistics, machine and/or deep learning
3. Knowledge of at least one modern programming language.
4. Experience with python and/or R is a plus
5. Familiarity with Unix command-line tools
6. Excellent communication and organizational skills
7. Ability to work independently and interact effectively in an interdisciplinary team
8. Proficiency in English, both spoken and written
9. Good communication skills
10. Involvement in student and professional organizations, participation in conferences is a plus.

1. Familiarity with statistics, machine and/or deep learning 
2. Knowledge of at least one modern programming language     
3. Experience with Python and/or R         
4. Familiarity with Unix command-line tools            
5. Competences of the candidate with respect to specific tasks in a research project                               
6. Previous educational/scientific achievements 
7. Awards and distinctions