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opportunity to engage in innovative research at the intersection of optimal control, machine learning and robotics. Job Description As ALCAN Research Group, we work on the safety and reliability of complex
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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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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.0c02887 ). We are looking for a motivated student with keen interest towards experimental research and applications of trace gas analysis. An optimal candidate should have prior experience with optical
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irreversible changes, and not only in environmental systems and land use, but also in terms of market or institutional structures, need to be anticipated and accounted for in optimal policy design. The research
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development. The successful candidate will contribute to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model
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, the appointee’s work will cover some of the following areas: Development of an isotope version of the process-based CH4 model and parameter optimization for different wetland types. Coupling the updated CH4 model
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the determinants of optimal policy. The research topics of FIT include various themes such as: measuring the extent and determinants of income and wealth inequality; the role of taxation and related regulation in
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experimental (wet-lab) approaches to tackle challenges such as: Prioritizing drug combinations based on single-drug response data Optimizing treatment strategies for synergy, efficacy, and toxicity Deciphering
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fully automated Prompt calibration which can save tens of person years, millions of CPU hours and speed up the typical CMS analysis cycle times by several years. In addition, it allows better optimization