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models, parameter estimation and model validation). Documented knowledge and experience in data analysis and scientific computing (such as proficiency in Python/R/MATLAB, data visualization, machine
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skills; Excellent programming skills (preferably Python and/or C++); Excellent proficiency in English (oral and written). Flexibility regarding working on-site with the diverse project partners. If you
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interpretable artificial intelligence (preferred). You have experience with coding in Python using deep learning toolkits (e.g., PyTorch). You have good analytical and problem-solving abilities. You are
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experience with coding in Python using deep learning toolkits (e.g., PyTorch). You have good analytical and problem-solving abilities. You are proficient in English (written and spoken). What we offer We offer
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learning. You have experience with coding in Python using deep learning toolkits (e.g., PyTorch). You have good analytical and problem-solving abilities. You are proficient in English (written and spoken
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | about 2 months ago
biology • Basic knowledge of and strong interest in next-generation sequencing (NGS) data analysis • Proficiency in at least one programming language, preferably Python and/or R, and routine use
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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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, or Mining Engineering, with demonstrated link/application to the mineral raw materials sector. The candidates should demonstrate some of the following skills: - coding in Python - Life Cycle Thinking (LCA
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strong programming/scripting skills (Python, R, C++, Java) and knowledge of ML frameworks (PyTorch, etc.) a keen interest in interdisciplinary teamwork proficiency in English experience in Data Science
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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