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Phase-0, the candidate will contribute to detailed data analysis, student supervision, and the dissemination of scientific results. The data obtained will advance our understanding of nuclear shape
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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applications posted 2024/12/03, updated 2025/05/20, listed until 2025/07/15) Position Description: 2025/07/15 11:59PM Position Description The Technical University of Munich (TUM) welcomes applications for a PhD
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, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and
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interactions Integrate omics approaches with microphysiological modeling Interpret data, write manuscripts, and present findings at conferences and seminars Collaborate across disciplines with engineers
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Your Profile Doctorate (PhD) in Ecology, Soil Ecology, or a closely related discipline Expertise in identifying soil invertebrates Experience with the analysis of food webs or trophic interactions
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, extension is sought) Contract:TV-L Your tasks Molecular laboratory work with 2D and 3D cell culture models Experimental design, data analysis and interpretation Publishing research findings in peer-reviewed
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis
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) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics or chemistry, or
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completed scientific university education (Master's/Diploma) with PhD in horticulture sciences, agricultural sciences, biology environmental protection or a related field in-depth knowledge of organic