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will work with state-of-the-art software and equipment to implement new processes for the efficient use computer numerically controlled and manual machining equipment which are used to create custom
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and
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university, healthcare, or enterprise HR environment. Experience implementing change management strategies and process improvements to optimize workflows. Key Responsibilities 70% - Project Management 15
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applications and effective training and technology enablement methods. Skills/Ability to: Ability to use problem-solving skills and seek to optimize data for the best possible outcome. Conduct needs assessments
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30 Months Fixed Term, Whole-time Post The postdoctoral researcher / senior postdoctoral researcher will modify an existing GIS-based multicriteria decision support tool in order to designate optimal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill
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disabled persons or persons of equal status will be given priority in accordance with SGB IX. The above position is one of 15 doctoral candidate positions of the MicroMan4Health doctoral network (https
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additive manufacturing. The role will focus on thermal field modelling, multi-physics numerical simulations, machine learning and process parameter optimization. We expect the candidate to use data-efficient