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Field
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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++, Python), and data analysis. Familiarity with ultrasound imaging and medical signal analysis is highly desirable. Excellent written and oral communication skills, and the ability to work collaboratively in
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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specialty of your department is required. All degree requirements including dissertation, must be completed. Preferred Qualifications Expertise in Bash, Python, and R Experience with bacterial genomics
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the programming languages Python and R, and with the writing of bioinformatics and AI / ML analysis pipelines for spatial transcriptomics / proteomics data and/or single-cell genomics data . You will be highly
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systems and Python programming - Skills in data processing and image analysis - Oral and written communication skills, ability to facilitate collaboration at the interface between physics, mathematics, and
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/Linux operating systems, with RAID and server systems; should have good scripting/programming skills (R, Python, Bash, Next-Flow, etc.); and should have a good command of English. The candidate should
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platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
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skills in Matlab and/or Python, R C2 Experience with collection and analysis of EEG and/or fMRI data C3 Experience with Drift Diffusion and/or Reinforcement Learning models C4. Research creativity and