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satellite imagery (e.g., Landsat, Sentinel) and other remote sensing data sources. Proficiency in programming languages such as Python, R, or MATLAB for data analysis and algorithm development. Knowledge
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computational semantics models, word sense disambiguation, or semantic change detection Proficiency in Python and relevant NLP libraries Experience working with large-scale corpora or annotation pipelines Strong
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background in statistical and probabilistic modelling of earthquake occurrence Experience in research software development and open-science workflows (e.g., Python, Git) Publication record demonstrating
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of neural network architectures (as a plus: PINNs, neural operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing
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(or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability
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in Python. Additional Information: The Department of Microbiology within the College of Arts and Sciences seeks a Postdoctoral Scholar to perform independent research in the Gowda Lab. The College
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
skills for data treatment (e.g. MATLAB, Python) Prior work related to toxicology, safe and sustainable by design (SsbD) Prior experience in the preparation of nanofibers, textiles, cosmetics and/or cell
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
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analysis. Experience with Python and/or R; familiarity with deep learning frameworks is a plus. Demonstrated record of research productivity (publications, conference presentations). Excellent communication
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programming languages such as Python, R, or MATLAB for data analysis and algorithm development. Knowledge of machine learning techniques and statistical modeling for environmental applications. Excellent