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Field
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and ML packages with a Python programming environment. Ability to troubleshoot complex biochemical assays, identify causes of non-specific amplification and design appropriate controls. Ability to plan
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an advantage skills in electronics, e.g., RF electronics, MRI coil design, gradient coil design, etc. programming skills with MATLAB, C/C++ or Python skills and experience in manufacturing methods, such as 3-D
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independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able
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methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis
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degree preferred. Hands-on experience with deep learning frameworks, foundational machine learning knowledge, and Python proficiency A combination of education and relevant experience from which comparable
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Required Working knowledge of at least one programming language, such as C++, Python, etc.; Working knowledge of Dynamic Traffic Assignment (DTA) and large-scale network simulation Have a good understanding
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, public policy, or similar quantitative training. Some experience with machine learning tools in Python. Good communication skills. Preferred Qualifications Experience working with big, geospatial, and/or
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computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry
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discipline. Research experience (academic or industrial) in embedded systems, communication systems, or related areas is required. Development experience in C, C++, Python, and MATLAB. Experience with embedded
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 2 months ago
completed more than two years ago Solid knowledge of numerical physics simulations (e.g. COMSOL, ANSYS, Python) Particularly for engineering candidates - experience with CAD systems. An advantage