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Your Job: You will work on the development of (meta)data extraction tools from electronic lab notebooks You will create tools for data transformation and integration from electronic lab notebooks
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and/or Matlab, parallel programming Experience in international collaboration Fluent in English (spoken and written) Demonstrated ability to publish in international journals and present at conferences
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available in the further tabs (e.g. “Application requirements”). Objective The scholarship programme “Leadership for Africa” (LfA) aims to support the academic qualification and advancement of young refugees
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available in the further tabs (e.g. “Application requirements”). Objective The scholarship programme “Leadership for Africa” (LfA) aims to support the academic qualification and advancement of young refugees
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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times through higher parallelization and enable targeted stimulation of hardware faults by adjusting the models. To this end, a simulation environment based on a virtual prototype will be developed using
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- 20 hours per week. Key responsibilities: Support a systematic review and meta-analysis of quantitative ex-post evaluation literature in climate policy; Conduct structured searches using academic
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highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the