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Professional 1: Prior experience in rodent behavioral research lab or similar; Knowledge of neuroanatomy and/or animal behavior; Experience with coding, especially in Python or Matlab Essential Qualifications
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
these research areas is desirable. The applicant should be comfortable with running at least basic statistical analysis and ideally have R, MaUab or Python coding experience. The applicant will be
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to develop, simulate, and critically evaluate mechanistic models rather than relying solely on descriptive data analysis. Scientific programming ability in Python, MATLAB, Julia, C/C++, or a comparable
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in statistics, biostatistics, data science, applied mathematics, quantitative social science, or a closely related field. Strong Proficiency in Python or R for statistical analysis, data management
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-to-end GPU timing; document limitations and extrapolation behavior. Implement, test, document, and maintain open-source Python/JAX research software; collaborate with researchers to connect trained models
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genomics and novel therapies. As a successful candidate, you will: Analyze genomic and proteomic data and generate expression matrices using preexisting code. Write short Perl/Python scripts to support
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, Electrical Engineering, or a related field. Strong foundations in machine learning, deep learning, computer vision, and at least one of 3D/4D vision, reinforcement learning, or robotics. Proficiency in Python
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knowledge of Python and NLP concepts is a must. Experience with LLM Inference frameworks (i.e., Ollama or vLLM) is a must. Experience with Generative AI and LLMs (i.e., Llama, Gemma, Qwen, etc) is a must
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the basis for an animal welfare indicator, review and build on existing welfare frameworks, and translate these into a practical metric that can be applied within HESTIA. You will use Python to develop models
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Physics, Applied Mathematics, or Computer Science, with experience in deep generative models (VAE, diffusion) and Python/PyTorch. Applications from statistical physicists are welcome. STILL HESITATING? The