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Field
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. Qualifications Required: A Ph.D. degree with focus on computer science or a related field Experience in programming (C/C++ or Java, Python, etc.), ideally in a scientific setting Ability and desire to
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broad range of audiences such as faculty members, PIs. • Python, Java, or similar language experience. • Familiar with popular machine learning packages, e.g., Pytorch. Special Instructions to
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and sample metadata with analysis status and results; automating reproducible R-, Python- and Java-based processing on local and HPC infrastructure; analysing DDA data using database-search and de
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/statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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will be relevant. Experience with AFNI/SUMA, SPM, FSL, Freesurfer, UNIX/LINUX computational environments and/or programming skills (MATLAB, R, C++; JAVA, Python) is desirable, but not required
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experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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the lab’s work, such as Python, C/C++, Java, JavaScript/TypeScript, containerization, cloud platforms, workflow systems, distributed computing frameworks, and version-control systems. Demonstrated
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environment. Excellent written and oral communication skills. Other qualifications: Analytical and problem-solving skills. Strong programming skills (Java/C++/Python). Demonstrated expertise in perception
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date of appointment in machine learning from computer science or related areas and be proficient in Java, C, and Python programming. Familiarity with the source code of major open source machine
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dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in particular language and ability to solve more complex problems due to understanding