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networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with
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. The position involves data analysis, model development, use of AI/ML tools for both understanding the mechanisms governing long-term performance of polymers and composites and translating findings into practical
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within the Texas Children's Cancer Center. The project aims to develop and test novel CAR-redirected immunotherapy for pediatric solid tumors. In particular, gene knockout and knock-in screens will be
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assessments independently and collaboratively; interpret data; and present results to diverse audiences. Fluency in English (written and oral) is required. Excellent scientific writing skills and the ability
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),. Familiarity with data analytics, machine learning, digital twin knowledge, or Python programming language. Knowledge of additive manufacturing, process physics, thermodynamics, and/or metallurgy to interpret
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 14 hours ago
be given the opportunity to copy over what they had previously submitted. All documents must be in English or include an official English translation. If you have questions about the application
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 14 hours ago
an official English translation. If you have questions before, during, or after you submit an application, you may reach out to [email protected] . Selection Decisions Selection decisions are made directly by
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of Microbiology and Immunology. Preferred candidates will have experience in and a desire to pursue virus-host interactions, post-translational modifications, and/or RNA splicing. Well qualified individuals will
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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results is expected, which translates into formulating new research questions. Ability to function both in a team and independently. Good communication skills. good in English, both spoken and written. TU