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Adhere to all lab safety practices and department policies. Qualifications: Master's degree in robotics, specifically semantic SLAM for mill-yard environments. Proficiency with ROS2, IsaacSim, Python
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. Programming in R and/or Python Expertise in statistical methods including linear mixed effects regressions and multivariate statistical analyses Presenting work at international conferences Mentoring students
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and discuss scientific literature Collaborate with group members in analysis and interpretation Qualifications: Requires strong python programming and communication skills Experience and education: BSc
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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scripts to process and analyze behavioural and neuroimaging data in languages such as Python, Matlab, or Bash and/or using standard neuroimaging analysis software; Conducts statistical analyses using tools
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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Proficiency in Microsoft Office and experience with statistical software (R, STATA, SAS, or Python). Strong organizational, communication, and time management skills. Ability to work independently and
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cross encoder architectures and retrieval augmented generation. Strong programming skills in Python and deep learning frameworks, familiarity with MLOps practices, data governance for sensitive health
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly