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an exciting opportunity to join a leading consortium at the cutting edge of satellite remote sensing, high-resolution plume modelling (MicroHH), and atmospheric chemistry transport models (LOTOS-EUROS, ECHAM
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, employees, IT infrastructure, specialized training). Second, they may require the use of quantitative models, data analysis, and algorithms, but these applications must also safeguard the data privacy and non
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comprehensive view of your qualifications and better assess your fit for it. You can access the form using the link below: https://forms.office.com/e/kp0kUZw8MR Your prompt response will ensure that your
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matter discoverable with future gravitational wave interferometers? Join GRAPPA as a PhD candidate within the ERC Advanced Grant “De Tenebris” (PI: G. Bertone) and develop precision models of binary black
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), photoplethysmogram (PPG), Electrodermal activity (EDA), and contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies
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models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is useful for research, education, and industrial use. Your research will be published
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suggested patches, easier to understand using interpretable AI using state machine models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is
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comprehensive view of your qualifications and better assess your fit for it. You can access the form using the link below: https://forms.office.com/e/QDRYx2LPbD Your prompt response will ensure that your
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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mapping, with molecular approaches using human and animal disease models. Where to apply Website https://www.academictransfer.com/en/jobs/355039/phd-in-cardiac-electrophysiolog… Requirements Specific