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programming skills (Matlab/Python, C(++)) and experience with deep learning frameworks such as PyTorch, TensorFlow, Keras has been in your focus. Further, experience with standard supervised machine learning
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observation data, including drone-based data (RGB, LiDAR, hyperspectral). Strong skills in geospatial and statistical analysis (e.g., GIS, remote sensing software, R/Python). Experience in data preprocessing
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, conceptualizing and bringing projects to life You have demonstrable experience with digital tools (e.g. Docker, networking, Unix, Windows) You’re proficient in at least one programming language (e.g. Python
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fields Good knowledge of programming languages such as R, Python, Matlab, Mathematica or equivalent Experience in data analysis and parameter inference methods is a plus Experience in teaching and interest
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programming skills (preferably Matlab, or Python) Strong analytical and problem-solving abilities Excellent communication and scientific writing skills, and fluency in English (both written and spoken
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Excellent programming skills (preferably Matlab, or Python), and some experience in machine learning Strong analytical and problem-solving abilities Excellent communication and scientific writing skills, and
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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. Profile You hold a Master's degree in a relevant field such as data science, computer science, physics, computational biology, or biomedical research. You are proficient in Python programming, with
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fields. Proficiency in Python (5+ years) and some experience with C++ or Rust. Experience with modern software development tools (e.g., version control, CI/CD, testing, documentation). Excellent