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current research. We are seeking candidates who have a strong qualitative or quantitative background, who may have or wish to develop statistical/scientific programming experience (e.g. Python, R
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. Demonstrated computational knowledge, use of ImageJ, and familiarity with a programming language, in addition to ImageJ. Ability to multitask projects effectively, prioritize, and follow through to completion
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statistical mechanical theory to analyze the simulation results Basic understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred
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tensor network algorithm development and application. Competency with common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel
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Minimum Education and Experience PhD is required along with knowledge of molecular biology, computer programming, statistical analysis and genome evolution. Mentoring experience is also required
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Position Summary The successful candidate must have a Ph.D. in either mechanical, biomedical, aeronautical, civil engineering or equivalent field with a strong foundation in programming (C++ and
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Programming experience: Python, MATLAB , SPSS , Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to
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statistics, and a keen interest in neurobiology. Solid R skills and genetics knowledge are needed. The positions are ideal for bioinformatics experts as well as for candidates with an expert programming
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trainee’s curriculum will include gaining independence in developing neuroinformatics workflows and programming to support neuroscientific analyses, clinical research design, fMRI pipeline development
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external) . Position Overview : We are looking for a highly motivated and qualified postgraduate trainee to join the project team. This individual should have experience in python programming including