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Field
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch
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to problems were few data is available. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch, NumPy, Pandas and
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and knowledge of a modern programming language (R, Matlab, Python). Good English skills are required. Personally, you are characterized by loyalty, reliability, teamwork, and an independent, careful
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Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference implementation of your machine learning pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with
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(TCP/IP, ISO/OSI) Strong understanding of networking performance indicators (latency, jitter, delay) Good programming skills in Python Good understanding of Python libraries for data analysis (Pandas
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desirable Knowledge in the scripting language Python, Perl, JavaScript, SQL, Git are desirable Experience with office applications (Word, Excel, PowerPoint) and with LaTeX Great ability to work in a
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engineering, structural dynamics, basic isolation, finite element modelling. Proficiency and/or interest in programming languages (e.g. MATLAB, Python, R) and software platforms such as OpenSees, ABAQUS, LS
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level
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techniques is an advantage • Prior experience with Python and R programming is considered an asset • Highly motivated, team-oriented, and well-organized • Good English communication skills (spoken and
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-performance computing systems Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran and Python Competency in visualizing and