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drainage, cultivation, and mining. As these areas constitute major sources of carbon dioxide emissions, accurate mapping is crucial for their effective restoration and management. Peatlands are highly
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tasks will consist of: Brainstorming and designing how to handle samples for multiple analysis. Optimization of protocols for tissue preparation before further analysis of disease mechanisms (and drug
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enthusiastic postdoctoral researcher to join our multidisciplinary team. This position offers an excellent opportunity to contribute to cutting-edge research in energy efficiency and energy demand management in
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expertise in dependability, performance, and sustainability will drive us towards a smarter, greener future. By joining us, you stand to gain extensive support unlocking your career potential. You'll have
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photovoltaics and thin film energy devices The position is available from 1 October 2025 or as soon as possible thereafter. The successful candidate will perform experimental research to characterize photovoltaic
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, managing communication and activities between participating companies and relevant DTU staff. Facilitate technical, environmental, and economic assessments of remanufacturing systems. Contribute
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research management, industry co-operation and international co-operation. Documentation of relevant, significant, original research at an international level. Transcript(s) and a full CV. Recruitment
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(e.g. scikit-learn, PyTorch). Flexibility to adapt to different application fields. Independence and time management. Who we are The Computational Physics and Machine Learning Lab led by prof. Lucantonio
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part of the Dynamical Systems Section. We perform research within a broad range of areas within dynamical systems including modeling, optimization, forecasting, and controlling in both deterministic and
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operation are pivotal in laboratory environments; thus, guarantees for correct behavior despite uncertainties must be provided. This project will integrate visual sensing and force sensing to obtain effective