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The International Centre for Translational Eye Research (ICTER) is a multi-investigator center for eye research as related to imaging and biochemical techniques to support advances in understanding the etiology and treatment of human blinding diseases. The new research agenda (carried under International Research Agenda’ project no. FENG.02.01-IP.05-T005/23) aims to develop new tools for safer and more effective surgical interventions, new therapies for eye diseases, and diagnostic methods to improve prognosis and restore vision. The main technology to be developed under this program will be a novel robotic system for delivering drugs to the eye and performing a tissue biopsy, in which a robotic system will assist the micromanipulation of the injection device with 3-D localized imaging.

Further information on the research priorities and current expertise of our Center can be found at www.icter.pl

The Institute seeks applicants with a MSc degree, and experience in machine and deep learning as well as bioinformatics.

The PhD student will have a direct impact on lab development and its success in publishing in high impact factor journals. The person will be also responsible for performing dynamic research to create a competitive research group. The positions will be assigned to the Computational Genomics Group. 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).

1. Participation in research projects and attendance at team meetings to share results
2. Develop and implement novel machine learning algorithms for analysis of high-dimensional single-cell genomics data
3. Collaborate with bioinformaticians and experimentalists 
4. Design and lead independent projects
5. Prepare and write scientific papers 
6. Active participation in conferences and grant applications
7. Supervision over students

1. Full-time employment contract;
2. Opportunity to work in an innovative scientific environment;
3. International cooperation with experienced researchers;
4. Competitive salary.

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 in analysis of developmental and spatial single-cell multimodal data
5. Excellent programming skills in python
6. Familiarity with Unix command-line tools
7. Excellent communication and organizational skills
8. Ability to work independently and interact effectively in an interdisciplinary team
9. Proficiency in English, both spoken and written
10. Good communication skills
11. Involvement in student and professional organizations, participation in conferences is a plus.

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