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sorting, calcium imaging, long-term tracking). • Experience with behavioral tracking and multimodal dataset integration. • Proficiency in Python, MATLAB, scientific computing, and pipeline development
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and/or cognitive neuroscience, preferentially in the field of attention and memory Excellent research methods knowledge and skills Solid programming skills (e.g., MATLAB, R, Python) Demonstrated
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or MATLAB (e.g. NumPy, Pandas, SciPy). Experience with biomedical signals or signal quality assessment is an advantage. You bring initial experience in machine learning (e.g. scikit-learn, XGBoost, PyTorch
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disciplines) Good programming skills (Python, MATLAB) Interest in machine learning (ML) and structural mechanics Motivation to work on interdisciplinary research problems Independent and structured working
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with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI-based approaches. You are self-driven, curious, and able to work
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Strong background in seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB
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enhancing an existing MATLAB software package to Python Designing and implementing user-friendly graphical user interfaces (GUIs) for data interaction and visualization Optimizing software performance using
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analytics / atmospheric monitoring of greenhouse gases and interest in automated setups and field work. Knowledge of scientific data analysis (e.g. Python, MATLAB or R). Good verbal and written communication
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, ASAP, or equivalent) Programming skills in Python, MATLAB, or similar Ability to work independently as well as in interdisciplinary teams Very good command of English (written and spoken) Preferred
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV