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reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities
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software technologies for advanced preclinical imaging and irradiation. Refining disease models (primarily cancer) that closely mimic human pathology to support translational research. You will play a key
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Job Description Real-time systems need to guarantee the timely execution of tasks. Furthermore, the whole system (processor, compiler, application software) needs to be analysable for the worst-case
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aim of translating findings into clinical trials. This project has two main objectives: Developing novel hardware and software technologies for advanced preclinical imaging and irradiation. Refining
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position is grant funded; future employment may be contingent upon future funding. Qualifications Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications Experience
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experiments in the SNS ring including experiment design, and data analysis. Develop software for data acquisition and analysis as needed. Perform simulations using a well-tested model of the SNS ring to
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benefits package. Required Qualifications: PHD in astronomy or physics. Preferred: Experience with large-scale structure data and software development. Special Instructions to Applicants: For full
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: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Mechanical Engineering, Nuclear Engineering, Physics, or a closely related
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and