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platforms and our local CPU and GPU clusters; implementing Python tools for automating CSP/DFT calculations; - Participation in the scientific activities of the Applied Quantum Chemistry group (IC2MP) and the
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/automated chemistry Good programming skills, e.g., Python Very good written and spoken English skills You demonstrate a high level of commitment, initiative, problem-solving skills, and a willingness to
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mechanics and analysis Experience with the following: Structural health monitoring (SHM) Finite element modeling (e.g., ABAQUS, SAP2000, ANSYS) Machine learning / AI (Python, TensorFlow, PyTorch) Demonstrated
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to interdisciplinary discussions Office, GIS (Arc/Q), R, Python (basics) English, Spanish (Italian, German, Dutch, Polish beneficial) Strong experience with spatial assessments. Early leadership experiences at junior
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include MATLAB, Labview, Python and/or C++. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability
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» InformaticsEducation LevelPhD or equivalent Skills/Qualifications Python programming, Slurm jobs, Transformers training, interpretability Internal Application form(s) needed Offre emploi-202603-24.pdf English (101.34 KB
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of photovoltaic solar potential Duration: 3 months Maximum Duration Including Renewals: 3 months Monthly Maintenance Allowance: €1,851.00 Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions
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responsibilities. Job Description: Dr. Feifei Xiao's laboratory (https://directory.ufhealth.org/xiao-feifei ) at the University of Florida's Department of Biostatistics (https://biostat.ufl.edu/ ) is accepting
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) Proficiency in programming and data analysis tools (Python, R, MATLAB, SQL or similar) Ability to work independently and within an international multidisciplinary team High level of English Specific
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, PRS, pathway analysis, or Mendelian randomization) and statistical analyses in R or Python; the candidate must have programming skills, ability to handle large datasets, experience in scientific