15 software-formal-method-phd Postdoctoral research jobs at AALTO UNIVERSITY in United Kingdom
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batteries Conduct preliminary sustainability analyses to evaluate the environmental consequences of the chosen materials and fabrication methods Evaluate the long-term ecological responsibility
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both the density and phase of the BEC. The experiment aims to pioneer in vibrational and phonon BEC Phys. Rev. Lett. 133, 186903 (2024) and establish a groundwork for the control methods over light
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: Ph.D. in Chemical Engineering, Biosystems/Bioprocess engineering, Process Engineering, or a related field (completed within past five years). Expertise in Aspen One® software for process simulations
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models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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Aalto University is looking for an Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering [Academic Research Software Engineer] to a postdoctoral-level position. The
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release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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centralization. Methods may include multiple regression, panel data models, difference-in-differences, and multilevel modeling. The postdoc will take part in the analysis to test hypotheses on how specific
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communication and collaboration. Finnish language is not required. Other requirements: PhD degree in Physics with excellent academic track records. Experience in biological, fluid, or soft matter physics research
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical