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for your independent, organized, and structured approach to work Experience conducting simulations using ANSYS and Python is a plus, but not required What we offer 👥 Team spirit: Creative, interdisciplinary
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
knowledge of R, Stata, Python, or other relevant programming language. We would be particularly interested in researchers working on topics that include (but are not limited to): The intersection of education
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programming skills in Python; initial experience with machine learning frameworks such as PyTorch or TensorFlow Initial practical experience from a master's thesis, study projects, internships, or open-source
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. Experience in careful, practical work in the laboratory is desirable. You have basic knowledge of solar cells and semiconductor physics and are already familiar with laser technologies. You have basic Python
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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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learning techniques is an advantage Experience with programming languages, such as R, Python, or Stata Excellent English language skills; German language skills are an advantage Your Responsibilities
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and very good English language skills (written and spoken) Solid programming skills in Python Structured, independent, and reliable way of working What we offer Opportunity to contribute your own ideas
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engineering, physics or a comparable subject You have initial experience in setting up and operating opto-mechanical systems Knowledge in programming with Python is advantageous A high degree of initiative and
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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with