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Field
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Python programming. ● Experience in monitoring code performance. ● 3 or more years of demonstrable experience in machine learning theory. ● Excellent communication and teamwork skills. ● Proficiency in
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simulators. CUDA. C++. Python. Other requirements to consider: Motivation and organizational skills. Analytical capacity and rigor. Multidisciplinary fit into an international research group. Specific
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management, critical and analytical thinking, precision, and focus. Desirable: Expertise in respiratory, audio or sleep signal analysis and modelling Knowledge of Matlab, Python, and/or R and tools and
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
identification; Proficiency in Python and frameworks such as PyTorch, TensorFlow, etc.; Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development; Relevant scientific and
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Knowledge and Professional Experience: Experience in energy harvesting Experience with COMSOL simulations Experience in programming (LabView, Python, C++, Matlab) Personal Competences Teamwork skills Fluent
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python
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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Technical Skills: Artificial intelligence tools. MatLab. Python. Specific Requirements Knowledge: Control of industrial processes. Mathematics
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-and-route Be familiar with Python programming Have a working proficiency in English. (Finnish language is not required.) The following are considered an advantage Experience with FPGA prototyping
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learning and deep learning applied to electroencephalography in the context of brain-computer interfaces, including experience with MATLAB and Python and in the design and conduct of experimental studies
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-kenntnisse (z. B. Python, JavaScript/Angular/Electron, C++ oder vergleichbar) Erfahrung in der Entwicklung von virtuellen Umgebungen und Nutzung von VR/MR/AR Kenntnisse im Bereich Künstlicher Intelligenz