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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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of medical databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and signals (including speech and audio). Where to apply Website https://www.uam.es
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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
Qualifications: Exceptional Excel skills: financial modeling and forecasting, complex formulas, scenario analysis, automation and data management using VBA and Python. Five to seven years of relevant experience
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of Career Development is committed to inclusive excellence, and we encourage applicants from distinct backgrounds. Learn more about our office, here: https://www.american.edu/sis/career/. Applicants
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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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development, optimization, and continuous learning in a rapidly evolving field. Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our
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Engineering, or a related field Strong programming skills in Python and SQL; experience with C/C++ Experience in data modelling and dimensional modelling Experience with CI/CD workflows for data and software
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services can be found at: https://www.uu.se/forskning/snpseq and https://ngisweden.scilifelab.se/ We are proud to deliver high-quality data and are accredited by SWEDAC as a testing laboratory under the ISO
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with
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of contract research staff to carry out activities related to research lines or scientific-technical services Ref. Interna M3377-7756 101137289 Call for selection of research asistants https://sede.urjc.es