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impact. These aircraft come with fundamentally different performance characteristics such as different operating speeds, climb and descent angles and range. It's still an open question what happens when
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sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is
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different radar configurations and be efficiently adapted to multiple downstream perception tasks with limited labelled data. An important research direction is the transfer of representations from vision and
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research and regulatory submissions, experimentally assess their quality and fitness for different purposes, and translate these findings into evidence requirements for regulatory use. You will work
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for “what-if” scenario analysis derived by Integrated Assessment Models (IAM). You will develop different pathways based on multiple realisations of CMIP6 and/or CMIP7 datasets, aligned with IPCC scenarios
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from largely unlabelled data that can generalize across different radar configurations and be efficiently adapted to multiple downstream perception tasks with limited labelled data. An important research
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reduces the reproducibility of scientific research, as different researchers make different decisions. A Bayesian multiverse is a systematic way of reducing these adverse effects and aims to make
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interest in the human brain. Programming experience (Python, MATLAB) and proficiency in spoken and written English is required. Experience with or an interest in microscopy, quantitative image analysis
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have: MSc in engineering or similar discipline by the start date of the position Experience with mechanical modeling and simulation Experience in computer programming/scripting (e.g., C++, Python, Matlab
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programming skills are a plus: MATLAB, Python, Git Fluency in English An open personality and good communication skills in written and spoken English. TU Delft (Delft University of Technology) Working at TU