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computational biology, statistical genetics, epidemiology, bioinformatics, or a closely related discipline. Strong programming skills in R, Python, MATLAB, or similar languages are required, along with a solid
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, computational method development, and scientific programming Proficiency in R and scripting languages such as Python or Perl in Unix/Linux environments Excellent written and verbal communication skills and the
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histology/ flow cytometry methods, familiarity with CRISPR/Cas9 or other genetic perturbation approaches* For computational scientist : previous experience with NGS data analysis; fluency in R, Python or C
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international conferences. Required Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance
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Eligibility requirements for the position. Required Qualification: Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field Proficiency in R or Python Minimum one year of
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, stating the job reference number (R-61846) in the subject line. Want to Apply? To submit an application for this role, go to the UQ Careers portal and use the Apply button. We welcome applications from all
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RAS signaling and/or targeting is preferred Expertise in computational biology/bioinformatics (including proficiency in Python/R) would be desirable, though this skill is not essential Prior experience
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with R&D or design centres, or equity companies settled in Türkiye operating within techno parks. About the Position Bahçeşehir University (BAU) offers a dynamic and globally engaged environment, making
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datasets using Python or R. Ability to work both independently and collaboratively, with strong organisation, attention to detail and communication skills. Clear motivation to apply interdisciplinary and
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proficiency in R and/or Python for statistical modeling and large-scale data analysis; experience developing reproducible computational workflows is preferred Experience with Linux-based environments and large