13 parameter-estimation Postdoctoral research jobs at Technical University of Denmark
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-in-time simulations to explore how various parameters contribute to extinction outcomes. These results will then be used to train machine learning models capable of predicting extinction probabilities
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research, publication, data analysis, and laboratory work, with the opportunity to participate in planned field expeditions to Greenlandic coastal and shelf waters. You will investigate key parameters
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computer architecture. Responsibilities and qualifications You are expected to conduct independent research in collaboration with and under the guidance of experienced colleagues. Additionally, you will be
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Experience with health impact assessments e.g., estimation of DALYs Experience with cleaning and managing data from extensive databases Experience with conducting systematic literature reviews We offer DTU is
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, turbulence estimation, load validation and lidar-assisted control, with a focus on their real-time capabilities. You shall assume a leading role in the research activities leading to improved inflow modelling
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internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering
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academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial
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tasks will primarily encompass: Simulation of heat transfer and optimization of façade-TEG configurations. Characterization of TEG generators after accelerated fatigue testing to estimate their long-term
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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or related fields. Preferably strong interest and foundation in immunology, immune cell assays, or translational research. Preferably experience with computer-guided protein engineering. Experience in human