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Field
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associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure, climate, and human health. Examples of current active projects include: Developing optimization
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possible sounding capabilities with current laser-produced sources, and (2) implementing experiments to test the predictions of these calculations and optimize the sources. The missions follow these lines
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
regions of the world, and at the same time impact the climate positively utilizing CO2 as raw material. To be launched into scaled solutions, the technology needs to be optimized through leveraging digital
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characterisation techniques; You will identify and implement optimal methods for the integration and testing of materials in real-life conditions; You will perform structure-property correlations and unravel
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regions of the world, and at the same time impact the climate positively utilizing CO2 as raw material. To be launched into scaled solutions, the technology needs to be optimized through leveraging digital
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling
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skills and experience in written, spoken, and collaborative work in English. What we offer: A career path optimized for transition to industry. You will be affiliated with the dynamic Aalto Scientific
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates
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complementary techniques such animals handling. Analyze data, interpret results, and develop models to optimize nano wipe formulations for enhanced selectivity and biocompatibility. Collaborate with team members
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. The candidate should have a strong background in process modeling, control, optimization, applied machine learning, and AI. City: Cranbury State: NJ Location: Off Campus Create a Job Match for Similar Jobs About