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applicant portal . If you have any questions (reference number 364_2025), feel free to contact the Human Resources team (bewerbungen(at)isas.de ). Further information about the institute can be found
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, tools, or artistic creations, humans instinctively explore the unknown in order to acquire information about it, to make sense of it, to act on it, and to appreciate what is in front of them
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of the developed approach will be validated and refined through comparisons with alternative observations and measurements. Feel free to reach out to the project supervisors if you have any questions. Entry
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sample (e.g., a copy of an article, book chapter, or other academic text that you feel best represents your work). Please send in your application as two PDF files (one for the (Re)Master thesis, and one
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with LIGO/Virgo/KAGRA, LISA, and the Einstein Telescope communities. If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. Applications
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optimization algorithms, you will design structures that deliberately harness modal couplings to exhibit tailored nonlinear behaviour, with direct applications in ultrasensitive resonant sensing. Together
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, Geoscience, Remote Sensing, Hydrology, Data Science, Physics, or related fields • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as
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sensing, high-resolution plume modelling (MicroHH), and atmospheric chemistry transport models (LOTOS-EUROS, ECHAM-HAM). The focus will be on better characterizing fire emissions, smoke plume injection
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that deliberately harness modal couplings to exhibit tailored nonlinear behaviour, with direct applications in ultrasensitive resonant sensing. Together, these approaches will provide both data-driven methods
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embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work