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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Technical Lead - Genome of Switzerland (GoS) Mission The Technical Lead / Genomic Data Engineer
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and students with a background in a number of different disciplines, including biology, molecular biology, statistics, chemistry, and computer science. About the research project We are seeking a
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology Mission
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Python, C/C++, MATLAB, Java, or other programming languages Experience with version control, Linux, databases, machine learning, or related technologies Previous research, internship, laboratory
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are a motivated post-doctoral researcher or a seasoned machine learning scientist looking to make a difference in society through cutting-edge AI research? This is the position for you! The Institute
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skills. experience in data analysis, quantitative modeling and programming (e.g., R, python); knowledge of nutrient and/or agrochemical cycles in agriculture; excellent scientific writing skills in English
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. • Strong proficiency in Python, FastAPI, and PostgreSQL. • Hands-on experience with LLMs, vector databases (e.g., Pinecone), and NLP tools. • Familiarity with clinical trial data structures, academic
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computational and statistical methods. Write, test, and maintain code in R, the primary language for the team’s analytic pipelines; experience with Python as a second language is a plus. Maintain, modify, and
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-throughput data, particularly next-generation sequencing data. Experience in the analysis of Hi-C and HiChIP data. Very good knowledge of at least one programming language used in data analysis, such as Python