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for energy systems (for example, using existing MATLAB/Python models, tuning parameters, etc), with related documentation. About you To be employed as an amanuensis, you must have be admitted to a university
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review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and
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, Artificial Intelligence, Computer Science, or an equivalent qualification. You have in-depth knowledge of deep learning techniques. You have experience with Python. You have in-depth knowledge of knowledge
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computing/data/CI environment encompassing all or some of the following: HPC, data science infrastructure and tools/software, and diverse domain science application base. Proficiency in R or Python
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Infrastructure? No Offer Description Mission: Implement an optimization method in the general methodology developed. Functions to be developed: Develop a data optimization module using Python, based on criteria
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analytics and interpreting data. Experience programming in SQL or other related language (i.e., R, SPSS, SAS, Python). Additional Considerations Additional Considerations: Experience working with relational
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Intensive in Microbial Bioinformatics, providing instruction and mentorship in R, Python, and command-line tools for microbiome and metagenomic analysis. Collaborate with faculty, staff, and industry partners
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Intensive in Microbial Bioinformatics, providing instruction and mentorship in R, Python, and command-line tools for microbiome and metagenomic analysis. Collaborate with faculty, staff, and industry partners
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transformative AI projects. MINIMUM QUALFICIATIONS Expert knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with
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Science Beamline (P61A/WINE), the lmaging Beamline (P05/IBL), and the Nanofocus Endstation of Micro? and Nanofocus X-ray Scattering Beamline (P03/MINAXS), along with supporting laboratories (https