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for linking basic and applied research, located in central Tuebingen The opportunity to establish your own junior research group, including a newly created PhD position (75% E13 TV-L). The team will also
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of climate model output by means of classical statistical and machine-learning methods #coordination of scientific workflows among project partners Your profile #Master's degree and PhD degree in meteorology
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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should have demonstrated in-dependent experience in designing and carrying-out ethnographic fieldwork, and in qualitative data analysis. - Experience with participatory design or participatory
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of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs (e.g., Teuken 7B, Llama 3, Mistral 7B) specifically
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its detailed analysis through Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap
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30.09.2019, Wissenschaftliches Personal The Chair of Robotics Science and Systems Intelligence (RSI) at the Technical University of Munich is looking for outstanding PhD/Postdoc applicants. About us
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? The doctoral degree should have been completed no longer than two years before the time of application. Doctoral students finishing their PhD studies by the beginning of the scholarship are also eligible
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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. Additionally, the scientist will actively promote the dissemination of research findings to relevant user groups. Qualification The prerequisites for a successful application are a PhD in biological oceanography