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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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chemical wet lab work is required. Experience with in vivo experimentation is required. Experience programming in Matlab and/or Python is desired. Experience with SEM/TEM/Raman/XPS/XRD is desired. Experience
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 15 days ago
of an electrochemical reactor, e.g. in Matlab and/or Python Suitable candidates hold a master's degree in the engineering or natural sciences, preferentially in chemical or process engineering, physics, chemistry or
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qualifications and experience in Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other
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Qualifications PhD in Aerospace Engineering, Mechanical Engineering, or a closely related field. Postdoctoral experience. Mastery of programming languages C++, Python + MATLAB. Preferred Qualifications Experience
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programming skills in languages such as Python, Java, C++, JavaScript, etc. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Possess strong supervisory and project management skills. Good
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equivalent) Strong programming experience (C++, Python, Bash, Matlab; min. 3 years) Experience with Linux systems and/or Robot Operating System (ROS) Knowledge of object-oriented design, multithreaded
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of professionals. Duties to include: Integrate and utilize AI APIs (e.g., OpenAI, HuggingFace) to perform tasks such as summarization, classification, or generation of content through Python-based automation
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candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be motivated, organized, and will work under supervision to help the investigator
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: Python (Django), Java (Spring), TypeScript (React), Docker, Terraform, GCP. We maintain a DevOps culture and use Scrum for our day to day work. We have also adopted an "open by default" approach to new