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Field
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) simulations. You are keen to learn new techniques for the development of machine learning interatomic potentials for MD simulations. You have a strong academic track record, as evident from your Master's thesis
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this particular project, as well as your previous research/work experience. Diplomas/Degrees, including a Grade Transcript of previous education at the Bachelor and Master levels. You can address your
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. Required selection criteria You must have a relevant Master's degree in civil engineering, structural engineering, mechanical engineering, mechatronics, marine technology, cybernetics or equivalent. Your
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
or computer science (including course name, date taken, school, and the main textbook(s) used in the course); courses currently taking; date available to start work. Two references must send letter of recommendation to
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reconstruction and analysis. Turn novel research algorithms into robust tools that can be used by scientists beyond the original developers. Design APIs and workflows for both rapid internal research and reliable
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professional experience and knowledge. Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any
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competitiveness assessment. The main tasks will be to develop models to assess life cycle cost, environmental and social impacts of mushroom production to evaluate mushroom sector sustainability. Supervision
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
, mathematics, statistics or computer science (including course name, date taken, school, and the main textbook(s) used in the course); courses currently taking; date available to start work. Two references must
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) scholarship. Courses eligible Doctor of Philosophy (PhD), Doctor of Psychology, Master by Research Eligibility / selection criteria Australian citizen or Australian permanent resident or New Zealand citizen
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must have a professionally relevant background in Applied/Numerical Mathematics, Physics, Fluid Mechanics with a solid education in numerical methods for solving partial differential equations. Master