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Field
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and software General Expectations: Above-average MA or equivalent in a field of study relevant for the respective position. Excellent academic and study record (e.g. FÖP within one year, annual
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(e.g., Public Health, Medicine, Global Health, Respiratory Medicine). Strong background in epidemiology, clinical research, or biomedical sciences. Proficiency with data analysis and statistical software
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- o Three health plans to choose from with a large national provider network •Dental - o UDM’s School of Dentistry FREE to you and your dependents o Option to purchase additional dental plan through
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harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer. • UC Sexual Violence and Sexual Harassment Policy • UC Anti-Discrimination Policy • APM - 035
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). PROJECT The net zero and sustainability targets as well as export cost means that there is increased need to rely on new class of alloys with higher recycle content must be developed for both high strength
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interpersonal, communication, organizational, problem-solving, and statistical software skills (e.g., R). Strong background in quantitative data analysis and research methodology is preferred. Ideal candidates
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The student will benefit from working alongside a multidisciplinary team of engineers, mathematicians, and physicists at the University of Manchester as well as a wide collaboration network within the UK and
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services (as defined in federal and state law), veteran status, expunged juvenile record, and/or the use of leave protected by state or federal law in all programs, activities and employment practices as
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by using commercial software such as Ansys, Abaqus, SolidWorks, etc. Experience in computational fluid dynamics (CFD) modelling or finite element (FE) modelling; Fundamental knowledge in fluid
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furnace (EAF) steelmaking. The research will support the steel industry’s transition to net-zero steel manufacturing and enhance the high-value utilisation of the new EAF steelmaking slags. Transition