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Python, including use of data analysis libraries such as pandas and scikit-learn Experience with Large Language Models (LLMs): using APIs (e.g., OpenAI, HuggingFace), or local models (e.g., Ollama
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/EEG analysis) - Knowledge of R, Python, Matlab, shell scripts, or similar programming languages - Interest in mechanisms of psychopathology, particularly anxiety NOTE: Position tasks are generally
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bring for this position: PhD in a relevant subject, e.g. molecular biology, bioinformatics or related field Strong data analysis and coding skills in Python Experience with pediatric leukemias
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
stream chemistry data collected across a network of sites. The position will require downloading of data of field instruments and shared data repositories, and the development of code (R or Python based
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), mechanical testing, or non-destructive evaluation of metals and alloys. Hands-on experience skillsets with finite element methods (ABAQUS), programming languages (Python, MATLAB, C++), experience in signal
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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. Your competencies We thus imagine that you: have a strong background in digital signal processing and machine learning; have substantial experience with scientific computing in Python/C++/ROS; know
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., NeurIPS, ICML, ACL, EMNLP, etc.). Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer
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-postdocIBSoFACTo@emploi.beetween.com Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Skills/Qualifications Practical experience with bioinformatics tools (R, Python, etc.) is required
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consisting of Cornell and agency scientist. Specifically, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate with USGS scientists on field data