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, or regional-scale resource-flow data. Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is
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Columbus, Ohio. More information about the lab is available at https://sun-hongyu.github.io/ . We welcome applicants from diverse disciplinary backgrounds, including geophysics, seismology, data science
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until the position is filled. Group or Departmental Website: https://resilientfutures.stanford.edu/(link is external) How to Submit Application Materials: To apply, please submit the required materials
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Framework Programme? Not funded by a EU programme Reference Number AE2026-0200 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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* proficiency in the Python programming language and libraries dedicated to machine learning (e.g., PyTorch, PyTorch-geometric, Transformers) and chemical data processing (e.g., RDKIT, OpenBabel, deepchem
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for a researcher in gravitational wave astronomy at the Institute of Applied Computing and Community Code (IAC3, http://iac3.uib.es ) funded by the Beatriz de Galindo fellowship (BG24/00137) supported
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experience in modern statistical methods, statistical and machine learning, and AI is advantageous Excellent knowledge of SPSS; knowledge of STATA and/or R and/or Python is an advantage. Interest in mixed
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Python programming. ● Experience in monitoring code performance. ● 3 or more years of demonstrable experience in machine learning theory. ● Excellent communication and teamwork skills. ● Proficiency in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | about 2 months ago
communication skills in spoken and written English Desirable qualifications Prior experience in research laboratory Prior experience in data analysis/ visualization using R or python This position provides
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published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https://www.ncbi.nlm.nih.gov/myncbi/paola.magioncalda.1/bibliography/public/ ) The successful candidate will play