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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
expected to work closely with a sub-team as well as collaborate with the broader full team. REQUIRED: Ph.D. in applied mathematics, computer science, software engineering, economics, energy systems
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: A PhD degree in Materials Science and Engineering or a closely related discipline. A strong background in physical vapor deposition and chemical vapor deposition will be a clear advantage. An
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/Sr PDA will contribute expertise in immune cell biology, process development, and clinical applications, to: Establish new methods for rapid T cell isolation, genetic manipulation, and culturing
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accelerator physics/electrical engineering/radio-frequency systems, medical physics, or closely-related disciplines relevant to the design of electron linacs. Candidates should have: • Demonstrated experience
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
expected to be January 1st, 2027, or later, with a 3-year guarantee, subject to extension for up to five years. Applicants should have a PhD in physics, chemistry, or a related field before starting
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: PhD in Computer Science, Biomedical Engineering, or a related field. Instructions Applicants should articulate how their past experiences and/or future plans in research teaching, mentoring, patient
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, STEM Education, Engineering, Computer Science, or a related field Demonstrated expertise in quantitative, qualitative, or mixed-methods research methods. Experience with human subjects research
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Department: Location: Health Sciences Center Time Type: Full time Worker Type: Regular Job Req ID: R109249 Minimum Requirements: Master's degree in a related field and two (2) years of relevant
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retirement plans. Researchers enjoy a high degree of academic freedom and a stimulating collaborative environment that bridges physics, mathematics, computer science, and quantum engineering. How to Apply
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, artificial intelligence, applied mathematics, physics, and related fields. Candidates with strong methodological expertise and an interest in applying AI to Earth science problems are especially encouraged