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requirements: General requirements: Candidates for the Research grant must hold master's degree in Biotechnology, Nutrition, or related areas. Specific requirements: Candidates must also have knowledge/research
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their optical properties. - Analyze species sampled in flames using laser-assisted mass spectrometry and optical spectroscopy; - Deduce the optimal operating parameters of the reactor to form species relevant
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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
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department is seeking a highly motivated and skilled Postdoctoral Fellow to join a dynamic, interdisciplinary research team. The position focuses on the development, optimization, and integration of advanced
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to algorithms with actionable performance guarantees. More specifically, the research will revolve around the following theme: High probability convergence in stochastic optimization under heavy-tailed noise
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Engineering Apply for this job See advertisement About the position Position as PhD Research Fellow in formal methods and knowledge representation available at Department of Informatics. The fellowship period
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, the participant will gain specialized knowledge in the molecular engineering of Agrobacterium-induced galls, facilitating the acquisition of advanced technical skills that complement their doctoral
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control and statistical analysis Learn about optimizing liquid handler to automate biomolecule assembly on electrodes Participate in development of techniques for high throughput optimization of sensing
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which the grant is assigned, working within research projects. In particular, the research fellow will work within the field of optimization of transportation routes, intelligent transport and optimal
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, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects in this area and will work