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analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and
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interaction, particularly under network constraints. Proficiency in working with hardware such as robot arms and software programming in C++/Python, ROS and MATLAB. Excellent command of English; German
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
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, with possibility to extend Appointment Start Date: Flexible (rolling review of applications) Group or Departmental Website: http://pollacklab.stanford.edu(link is external) How to Submit Application
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Posting Summary Logo Posting Number RTF00204PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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Candidates with experience in flow cytometry, single-cell analysis, quantitative imaging, and routine use of R or Python for data analysis and visualization will be especially competitive. The ideal candidate
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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models
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practical solutions for communication systems. Familiar with programming language including Python and MATLAB. Proven research and academic writing experience, including the preparation of high-quality
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar