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scalable cloud platforms to streamline data processing, analysis, and sharing. The successful candidate will have a strong foundation in software engineering, data engineering, and cloud computing, with a
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and/or MD in computational biology, bioinformatics, genomics, or other related fields. Proficiency with high-throughput sequencing data analysis and cluster/cloud computing. Expertise in variant calling
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network, with mentorship focused on developing scientific independence. Qualifications Required Qualifications PhD in Biochemistry, Biophysics, Chemical Biology, Computational Biology, Molecular and
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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
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the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
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, cloud computing, and distributed architectures, to enable efficient analysis of large-scale biomedical datasets. Collaborate with clinical and academic partners, both internally and externally, to ensure
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UiO/Anders Lien 15th May 2025 Languages English English English PhD Research Fellow in Aerosol-Cloud-Radiation Interactions Apply for this job See advertisement About the position / About the job A
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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and present at scientific conferences Qualifications Basic Qualifications PhD in Computational Biology, Bioinformatics, Computer Science, Human Genetics, Toxicology, or related field (summer and fall
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision