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interdisciplinary collaboration, have a demonstrated knowledge of Midwestern agroecosystems, and have direct experience collecting, managing, and analyzing field data using R, Python, or similar tools, as
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/high level Matlab and Python programming is required) and finite element method modeling. The candidate will participate in international collaborations and meetings and will have the opportunity
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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inference (using Python, C++, TinyML) Integration of sensing, signal processing, and communication subsystems Implementation and testing of industrial IoT communication protocols Experimental validation in
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. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self
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. Where to apply Website https://www.uniovi.es/conocenos/rrhh/convocatorias/investigacion Requirements Research FieldChemistryEducation LevelBachelor Degree or equivalent Skills/Qualifications The following
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field. The ability to do serious data munging and data wrangling is important. Demonstrated experience with SQL plus knowledge of Python. Using these tools to merge large datasets, locate and clean messy
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, CentOS, Redhat etc.) Able to configure secure Internet services with methods/protocol (e.g. HTTPS, SSH Tunneling, L2TP/IPsec etc.). Familiar with data storage systems (e.g. FreeNAS, LTO, NFS etc.) and data
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We are looking for a researcher, whose expertise lies in Discontinuous Galerkin discretisations, compressible flows, Fortran, Python, to work with Luis Espath & Prof Paul Houston jointly with Space
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, computer vision, or forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and