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(e.g., Matlab, Python), neuroinformatics, and/or advanced microscopy tools is plus, but not required. More details of the lab including publications can be found in the lab web site (https://kimlab.io
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/co-first-author original research papers. - Strong programming skills in Python or R, and Linux Shell. - Creative, independent, and highly motivated, with good communication skills Preferred
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theoretical understanding of statistical machine learning methods relevant to the project: Bayesian learning, machine learning, spiking neural networks. Experience of programming (e.g. with Python) and data
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. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in
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software skills in C++, python. Understanding of computing software development in the HEP environment, familiarity with machine learning (ML) techniques and experience with using ML software packages (e.g
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closely related field. Proficiency in MATLAB or Python. Prior experience with Neuroimaging analysis and/or medical image analysis. At least one journal publication as first author. Preferred
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proficiency in the following areas: programming languages (C, C++, Python), embedded systems prototyping, data analytics, signal processing, academic writing Application should include: Cover Letter, Statement
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lattice field theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging
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. Strong programming skills, for example in Python. Several of the researchers the candidate will work closely with speak English, so very good proficiency in written and spoken English is a prerequisite