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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 20 days ago
Specific Requirements Master's degree in computer science or a related field; programming skills in R and Python; experience with mathematical modelling of animal data; experience with mathematical
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, calibration, reproducibility) Implementing and maintaining Python-based data processing and analysis pipelines Quantitative interpretation of nanoscale microstructure data in deformation–precipitation
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, user interface, and feedback systems, various programming languages (Java, C, C++, C#, Python, JavaScript), technologies in the area of Internet-of-Things, web-based systems, databases, cloud computing
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utilization Programming experience in Python Advanced knowledge of geostatistics The transition of the energy system towards climate neutrality requires, particularly in industrial applications, the use
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of Python and experience with LINUX OS are mandatory. Experience with refraction seismology and inverse problems are a strong plus. Employment requirements: The successful candidate will have a Master degree
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programming skills (Python/C++/Mathematica) Very good proficiency in German and/or English (German level C1, English level C1) What We Offer: On the basis of full-time employment (40 hours/week) the minimum
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equivalent qualifications Expertise in one or multiple of the following areas: Machine Learning, Computer Vision, Image Processing, (Aerial) Robotics Excellent programming skills in Python (possibly also in C
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, user interface, and feedback systems, various programming languages (Java, C, C++, C#, Python, JavaScript), technologies in the area of Internet-of-Things, web-based systems, databases, cloud computing
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | about 1 month ago
, Approximation Theory, Machine Learning, Inverse Problems and Regularization Theory. Proficiency in programming with a strong preference for Python and deep learning frameworks such as PyTorch is highly desirable
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the Python programming language is an absolute requirement Experience with global vegetation models, satellite products (L3 or L4), and/or machine learning applied to spatially explicit data would be an asset