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programming, statistics, computational analysis and if possible environmental awareness. • Prior experience working with LiDAR or point cloud data will be a definite bonus. • Excellent project management
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis Key Competencies and Requirements: PhD in Computational Biology
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate