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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
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23.07.2025 Application deadline: 08.08.2025 The Institute for Theoretical Physics at the University Tübingen is looking to fill a PhD Position in Quantum Information Theory (m/f/d, E13 TV-L, 50
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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children
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often fail to preserve the fidelity of combined datasets, leading to loss of crucial information. This proposal aligns directly with the CAMS Data Analytics Theme and the Grand Challenge of using machine
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Your Job: You will develop instrumental analytical and theoretical methods to determine the origin of hydrogen and, in particular hydrogen carriers (including methanol, LOHC systems, formic acid) by
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project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab
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, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience
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. In-depth knowledge of hemodynamics, particularly in the context of coronary artery disease and cardiovascular flow phenomena. Strong analytical skills and the ability to interpret complex simulation