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-driven modeling A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Requirements: • Successful background check Joining the CMU team opens
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into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil, together with sufficient specialist knowledge in normal and malignant
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Indigenous initiatives and promotes a culture of equity, diversity, and inclusivity for all, improving the representation, participation, and engagement of equity-deserving groups within our community.
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-paced team environment with staff and students from MIT, other universities, national laboratories, and private industry. PREFERRED: Excellent programming skills and programming language knowledge such as
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deployment. The applicant is expected to have expertise in post quantum cryptography and know the fundamentals of quantum computing. It is also expected that the participant has knowledge to work on diverse
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publications and on conferences active interactions and support of scientific collaborators and industrial partners Your profile PhD degree in chemistry, physics or materials science deep knowledge in X-ray
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targets. You will hold a relevant PhD/DPhil, together with sufficient specialist knowledge in normal and malignant hematopoiesis research. Experience generating genomics data from leukaemia samples with
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science or related field. Background in physics, radiation physics, ionizing radiation, radiation therapy, and dosimetry research. Knowledge and experience in radiation detections, scintillating detectors, Monte Carlo
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the synthesis process, with experience in photo-catalysis. Additionally, knowledge of gas-phase reaction product analysis using micro-GC and FTIR is essential. A solid understanding of general material synthesis
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ore characterization techniques (mechanical, mineralogical, physical). Solid knowledge of comminution technologies and mineral beneficiation processes. Strong analytical and problem-solving skills