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, mathematics, physics, or a related field. The ideal candidate should demonstrate a record of publications in the area. Strong knowledge in machine learning, statistics and programming skills (R, Python
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Expertise and hands-on experience using LLMs, Machine Learning, Deep Learning frameworks, Natural Language Processing, etc. Proficient programming skills in Python and R and working knowledge in SQL Strong
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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expertise in molecular and cell biology are encouraged to apply. Basic to advanced experience with computational analysis and R/Python. Excellent oral and written communication skills and be able to work
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and prior DNA repair experience will be prioritized. Basic to advanced experience with R and/or Python. Excellent oral and written communication skills and be able to work effectively with collaborating
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(e.g., R, Stata, Python). • Excellent written and verbal communication skills. • Demonstrated ability to work independently and as part of a team. Preferred (but not Required): Experience conducting
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Google Cloud Platform (GCP) or Microsoft Azure, and tools like BigQuery, Vertex AI, or Azure ML Studio is a plus. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R
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programming skills in Python or similar languages (e.g. Julia), and familiar with 1-2 industrial geospatial tools (e.g. SKUA-GOCAD, LeapFrog, ArcGIS, QGIS, or others). Being a quick learner with demonstrated
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R, Python, or similar. Excellent communication and collaboration skills. Preferred Experience: Demonstrated experience in radiobiology and stem cell biology. Proven track record of publications in
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Experience in R, python or another scientific programming language Experience collaborating on and documenting, sharing, and managing code with version control Leadership experience Required Qualifications