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: Build reproducible workflows, functions, and R or Python packages; develop visualization tools and open-source applications; and share code through collaborative platforms such as GitHub. Scientific
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the project requirements. Job Requirements: Competence in working with languages such as C along with AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering
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good knowledge of Python Experience with machine learning, in particular with neural networks and their implementation (PyTorch, TensorFlow or similar) Motivation and Initiative Residence in Berlin and
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Time-Domain Spectroscopy, Hall measurements, Raman microscopy, device fabrication, Scanning Electron Microscopy, Instrument control in LabVIEW or python, synthesis of 2D materials, 2D materials
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issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning
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methods, strong publication potential, good command of English, programming skills in MATLAB, Python, R, Julia, or similar. Experience in one or more of the following is an advantage: time series analysis
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mechanics) with data-driven techniques. • Proficiency in Python (NumPy, TensorFlow/PyTorch) and MATLAB. • Familiarity with deep learning architectures, particularly recurrent neural networks (e.g., LSTM) and
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ends 8/31/2026. Required Qualifications The person applying for this position should be proficient in Excel, Python or MATLAB. Desired Qualifications Training provided. Special Instructions to Applicants
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with Bayesian inference or machine learning is an advantage. • Proficiency in Python and/or R; experience with probabilistic programming (Stan, PyMC, NumPyro) or deep learning frameworks (PyTorch, JAX
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of experience in logistics and supply chain management is an advantage. Those without relevant work experience but who have the technical skills are welcome to apply. Proficiency in Python or similar programming