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uncertainty from climate projections into land-use forecasts. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models
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. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models for long-term forecasting. Collaborate closely with
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has a strong background in control engineering, with documented expertise in optimal control, adaptive control and online optimization, stochastic systems, Bayesian inference, and state estimation and
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dichroism at room temperature. Your role will center on developing a novel meta-crystal composed of individually stacked monolayers for room-temperature spin-polarized valleytronics. The objective is to
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MOFs and their hybrid materials. The primary objective is to explore the fundamental structure–property relationships that govern MOF vitrification and liquid-phase behavior, and to develop new MOF-based
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services, aiming for maximum resilience. The Postdoc will focus on the following key research objectives: Create a framework for analysing and designing satellite system solutions in cases involving Danish
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to visible light, as a milder and more abundant energy source on early Earth, and investigates its ability to drive catalytic reaction cycles in aqueous solution. The central objective is to discover and
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, computational biology Hands-on experience with analytical equipment (LC-MS/MS) and its maintenance Proven track-record in metabolomics method development and deployment for high-throughput studies of microbial
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with focus on reaching a shared objective, and to achieve a good work-life balance by managing the demands of an ambitious career alongside personal well-being, hobbies, and family time. In terms
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, preferably with a focus on batteries, control, or optimization. Preferred qualifications include: Expertise in multi-domain and multi-objective optimization and AI-based control Strong analytical and modeling