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Field
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or related fields Strong interest in machine learning Basic knowledge of Python and common machine learning libraries Basic knowledge of electrochemistry and battery technology or willingness to learn What we
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science, or a comparable field. You already have experience in Linux systems (Shell/Terminal), Python (e.g., for data analysis with pandas) as well as statistical methods, and Git. Knowledge in Modbus-RTU
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environments, e.g., Python, R, Microsoft Azure AI Studio, RapidMiner, Dataiku, etc. Methodological and statistical competencies (e.g., for analytics) Experience with cloud platforms such as Amazon Web Services
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 10 days ago
skills (Python/R/Bash) and Linux. Experience with workflows, version control (Git), and scientific computing. Problem-solving mindset and good communication skills. Fluent in English. Desired Skills HPC
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strong interest in foundational research very good programming skills, preferably in Python good written and spoken English skills We offer: The position comes with access to high performance computing
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into the innovative field of hydrogen technology; ideally complemented by knowledge in computer science for modeling and simulation (Python/MATLAB/Simulink), enabling you to efficiently analyze complex supply chains
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Python-based) Test and benchmark the model with trained and untrained data Compare the ML models with traditional feature extraction methods and evaluate their success rate Your profile Enrolled in a
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technologies and laboratory setups. Knowledge of and proficiency with optical software and photonics tools. Knowledge of (Python and C) programming for test data analysis. Knowledge of opto-mechanical systems
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of research and innovation! Be part of change Software development of the DSP toolbox for LiFi system Implementation of algorithms and software development using C++, Python or MATLAB Technical documentation
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analyze acquired data from different sources using Python (or Matlab) Support the integration of the additional sensors on floats and perform regular technical monitoring of the AWESOME floats deployed in