70 applied-harmonic-analysis PhD positions at Technical University of Munich in Germany
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interdisciplinary research, teaching, and methods training in a top international academic environment; apply by May 18, 2025. Untitled Document About us The Munich School of Politics and Public Policy (HfP), with
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the patterns of sexual attractiveness in Nasonia CHC profiles. Expanding on this foundation, the PhD candidate will employ a suite of advanced techniques—single-sensillum recording (SSR), gas-chromatography/mass
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, information theory, statistics, real/functional analysis, statistics. - Excellent programming and software engineering skills at least in Python and in relevant machine learning libraries (at least one of
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are therefore especially encouraged to apply for the position. Applications from people with disabilities / special needs will be considered preferentially. Your application If you are interested in working in
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. Expected qualification: High motivation and commitment to scientific excellence Above-average Master Degree / Diploma in engineering (chemical engineering, biochemical engineering, or related engineering
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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or comparable degree in physics, biology, bioengineering, material engineering or a related discipline. You have experimental experience in cell/tissue culture, microfluidics, or a related discipline. You enjoy
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. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of
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for Data Science in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology
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21.10.2021, Wissenschaftliches Personal PhD Position at TUM Department of Science, Technology & Society (65% for 3 years) within a DFG-funded research project led by Dr. Susanne Koch and affiliated