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limited to, integrated cancer risk prediction model, cancer subtype discovery, genomic and epi-genomic data integration, single cell RNA-Seq data analysis, non-coding RNA data analysis, and other datasets
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for the long-term health of our code repositories and the versioning of models and data (Git, DVC, MLflow). Requirements: Education: Ph.D Degree in Computer Science, Engineering, Mathematics, Physics
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of technical staff and research students, including training and mentorship. A track record of contributions to open-source community bioinformatics code projects (such as e.g. Bioconductor) and working
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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 8 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0048-NPP-MAR26-LRC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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codes such as ImpactX, GPT, or similar. ● Experience with common PIC codes used in LWFA research such as OSIRIS, FBPIC, or similar. Brief Description: The primary purpose of this position is to
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”, “Firstname_Lastname_cover_letter”. Include links to code examples in your CV (e.g., GitHub page, past project repositories). Position Requirements A recent PhD (completed within 5 years, or soon to be completed) in computer science
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: Writing and testing of code. Planning of research & discussing research with collaborators. Writing papers, and giving presentations. Qualifications: PhD in Chemistry Before applying, please note that to
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learning in chemistry would be advantageous, as would familiarity with ML approaches for atomistic modelling (e.g., MACE, ACE, NequIP, PhysNet, reactive MD). Prior contributions to scientific code