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technology, consumer influence, data science, artificial intelligence, computational modeling, reasoning and knowledge representation, digital communications, UX. • Programming in Python, R, SQL; experience
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environments (e.g., SPSS, R, and Python), and computational facilities. Guide and support students during laboratory sessions and contribute technical input to curriculum development. Assist academic staff and
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, adipocytes, insulin resistance or type 2 diabetes; • integration of proteomics, lipidomics and interactomics data using R, Python or equivalent tools; • supervision, laboratory training
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, exomes). Demonstrated experience as an expert level user of HPC infrastructure / Linux systems. Demonstrated experience implementing key R and / or Python packages. Track record of publications
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characterization methods - Attosecond/X-ray beamlines, high vacuum systems, cryogenics, compressed gas handling - Quantum materials/ultrafast dynamics of materials - Laboratory control coding (python preferred
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on imaging concepts, knowledge of Matlab, Python programming languages and commercial software based on the finite element method is a plus, excellent communication skills (written and oral) in English. A very
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, optimization, or related fields. Proficiency in scientific programming (e.g., Python, Julia, or C++) and experience implementing optimization algorithms. Proven ability to work both independently and in
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in the field of Fire Safety Engineering; You are familiar with concepts of uncertainty quantification; You are familiar with Python coding; You are familiar with structural fire engineering calculation
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research projects and publications to completion Proficiency in scientific programming (e.g., R or Python) and experience with the analysis of biomedical data Excellent written and spoken English, and the
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experience with Linux, Git, high-performance computing environments, and scripting in Python and/or R Experience processing sequencing data, in particular microbiome (16S or shotgun metagenomic) data