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Job Description Are you interested in investigating conversational dynamics in human-AI versus human-human interactions? We invite applications for an appointment as a postdoc in Human-AI
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, glacier speedup, and ice-ocean interaction. Candidates will work with satellite altimetry, velocity datasets, and climate data to quantify ice sheet mass balance and dynamics. Applicants should hold a PhD
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of the next generation of such implants, able to interact with neurons through light, electricity and chemical compounds. Responsibilities and qualifications Your overall focus will be the development and
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. As an employee in the Turbine Response section, you are expected to be fluent in aeroelastic simulations, data science and analytics and have a solid knowledge of turbulence-turbine interactions
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studies, surveys); Maintain current models and update them according to the new state of the art large LLMs; Analyze data and transform it into accessible visualizations and knowledge. As part of your
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qualifications You must be well organized, structured, self-driven and enjoy interacting and collaborating with colleagues including PhD students, postdocs, and you are expected to take part in supervision of BSc
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) interactions of natural materials and the effect of organic compounds on them. The team will merge data from traditional techniques with results from state-of-the-art, ultrahigh resolution instruments and
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microscope), signal transduction , and 3D cell culture Experience with data analysis and visualization (e.g. R environment and Cytoscape; Imaris) At least one publication in relevant peer-reviewed
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outlook. We expect you to have good communication and personal interaction skills and to be fluent in English. As a formal qualification, you must hold a PhD degree (or equivalent). Further information
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, ice sheets, sea level and GNET data to understand the development ice-solid earth interaction with the aim to develop dynamic reference frames and integrated models which pushes the boundaries of both