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of Computer Science (CS) and Sustainability and Planning (PLAN). This position focuses on the machine learning methodology of the project, aiming to: Develop probabilistic spatio-temporal models that integrate
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Validation of turbine response models against measurements Inflow and wake modelling Wind turbine controller design Aero- and hydro-dynamic modelling Structural dynamics, beam models and cross-sectional
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collaborative and innovation-driven environment supported by strong national and international partnerships. Lab website: https://www.sahu-lab.com/index.html About the Department of Molecular Medicine (IMM
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. The application, in English, must be submitted electronically by clicking APPLY NOW below. Please include Curriculum vitae Diplomas (Master and PhD degree or equivalent) Research plan – description of current and
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analysis Validation of turbine response models against measurements Inflow and wake modelling Wind turbine controller design Aero- and hydro-dynamic modelling Structural dynamics, beam models and cross
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, fundamental and applied research with microfluidic designs using advanced AI image analysis to develop a tool based on the HLD (Hydrophilic-Lipophilic Deviation) theory that can quantify the role
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build your expertise in genome engineering, pathway design, and systems biology while contributing to cutting-edge solutions for a circular carbon economy. Together with our international and
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Content, Responsibilities, Tasks, and Qualifications Your overall focus will be to design and implement a robust computational framework that models extinction risk from genomic data. You will use forward
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to contribute to: (1) The design and build-up of a deep-UV supercontinuum source for ultrafast pump-probe transmission / reflection spectroscopy. (2) Investigate the dynamics of electrons and holes in selected
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Effects” group, an internationally recognized research team with expertise spanning fiber design, nonlinear effects, and quantum optics. The position is part of the TORNADO project, funded to explore higher