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Field
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optimization of these processes to achieve desired material properties and structural characteristics. Key Responsibilities: As part of the candidate's scope of work, they main responsibilities will be focusing
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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Responsibilities: Operate and optimize PVD and CVD plasma-based processes for advanced thin film deposition. Perform oxide and nitride composite thin film deposition, followed by in-depth materials characterization
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developmental challenges faced by children, families, and our aging population and to promote optimal development and opportunities for all. Postdoctoral fellows have the chance to participate in research
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the prototyping of sensor devices and contribute to the optimization of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high
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candidate will work on modelling, analysis, and optimization of circular agri-food supply chains in the UK with a broader emphasis on identifying data-driven and practical solutions to minimize food waste and
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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and synthesis of novel materials. Key Responsibilities: Develop and apply generative AI models for materials discovery, leveraging deep learning, Bayesian optimization, and active learning. Integrate
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working capacity, and increasing the number of professionally active seniors "Hjem-jobb-hjem" discounted public transport to and from work as an employee in Norway, you will have access to an optimal
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications