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programming language, such as JavaScript, C++ or Python; (b) be familiar with BIM development frameworks (e.g. Revit API, AutoCAD .NET API, and Forge); and (c) understand BIM standards (e.g. IFC and COBie
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Experience with Variational Quantum Eigensolver (VQE) algorithms Proficiency in data analysis and visualization using Python libraries Ability to work independently and collaboratively We regret to inform
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). Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, phase-field simulations). Proficiency in Python, TensorFlow/PyTorch, and scientific computing. Experience in
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
support tool for non-GIS users, e.g., Enterprise GIS databases, ETL workflows for data sharing, ArcGIS Dashboards; ▪ Demonstration of intermediate knowledge of python scripting and experience working with
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Patient-derived organoid culture and manipulation Flow cytometry or advanced immune-profiling platforms Single-cell or spatial omics Computational proficiency--familiarity with R/Python for analysis of bulk
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learning application, etc.; (c) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (d) have good communication skills; (e) be self-motivated; and (f) have good professional ethics
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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including in programming languages such as R and Python. Excellent publication record in peer-reviewed journals or conferences Experience of working in multidisciplinary projects including interaction with
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also