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Field
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of computer science fundamentals including algorithms, data structures, and object-oriented programming. Proficiency in C/C++ or similar language Working with large codebases Containerization (Docker) and building
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of computer science fundamentals including algorithms, data structures, and object-oriented programming. Proficiency in C/C++ or similar language Working with large codebases Containerization (Docker) and building
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. in physics, bioengineering, or a closely related field. Preferred Qualifications Extensive experience in Monte Carlo simulation, GPU-based parallel computing, and image reconstruction techniques
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supporting users via ticketing systems. Experience with Linux or related technologies. Strong programming skills in Python and at least one other language. Ability to make effective use of software engineering
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are also encouraged to apply. The successful candidate is expected to maintain an impactful, highly visible research program, provide visionary leadership for TEMI, oversee the growth of TEMI including
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, that of the fruit fly Drosophila melanogaster. The Institute is a key performer in the NIH BRAIN CONNECTS program, which aims to scale connectomics up to the whole mouse brain. Responsibilities Preparation of EM
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computational fluid dynamics (DNS, LES, or RANS) and/or high-performance computing (MPI, GPU, or parallel solvers), as demonstrated by application materials. Evidence of peer-reviewed publications in fluid
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as a dynamic department offering academic programs in the clinical, biomedical, and pre-health sciences at both the undergraduate and graduate levels. The Continuing Track (CT) is UD’s full-time
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. The position is responsible for ensuring successful delivery of high-quality technical solutions that meet expectations of our Hopkins Enterprise constituents by leading a variety of programs and
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partner with ORNL research organizations to enable research excellence and delivery. We work with other clustered computing and HPC groups to help research programs identify the best solutions