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optimization algorithms. More specifically, you will: Travel to Brazil to interact with various stakeholders in land use in MATOPIBA; Translate stakeholders’ preferences in terms of ‘productive agriculture’ and
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reactions. Materials chemistry, catalyst synthesis, characterization, or surface/interface science including electrolyte–electrode interactions and interfacial solvation. Experience with transition-metal
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(CEN). The successful candidate will therefore benefit from close interaction with academia, industry, and code-development bodies, gaining access to an international research network and opportunities
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clear written and verbal communication skills for interacting with colleagues and stakeholders. Skill in completing assignments accurately and with attention to detail. Ability to analyze, organize and
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close interaction with academic and industrial stakeholders. The ideal candidate: holds a Master's degree in Engineering Technology, Bioscience Engineering, or a related discipline. has a strong interest
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
employment. As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them. For the necessary professional and social interaction, it is a
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The prospect candidate is requested tochoose one application (listed or relevant) and write a 300 word proposal on how innovative algorithms can tackle it. Applicants are encouraged to reach out to the lead
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Polytechnique (Palaiseau) as part of the Advanced Microscopy team. The host team offers an interdisciplinary environment combining optics, computer science, and biology. The work will involve daily interactions
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environments. More specifically, this PhD project belongs to the research theme "Radiolysis at Interfaces", currently developed within the MATICE group. The work will be conducted in close interaction with
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assessments weigh uncertainties conservatively and simplify the interactions between subsurface heterogeneity, 3D groundwater flow and BEP. To make risk assessments of BEP more realistic it is therefore