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sedimentological (grain size distribution), geochemical (XRF, ICP-OES, C/N), and soil physical (density, pore volume, water conductivity) analyses in the laboratory, multivariate statistical evaluation of the data
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Master's degree (or equivalent) in physics, chemistry, electrical engineering, materials science, or others. IDEAS recruits excellent PhD candidates at the interface of data science and environmental & life
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The current transition of energy production from combustion to renewables sources, is changing the emissions of air pollutants from anthropogenic activities. While this shift is expected to improve
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biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput datasets
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based on separating the mechanical function of the substrate from the transport of electronic charge carriers, thereby overcoming corrosion as the primary degradation mechanism. To realize this concept
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
, and materials or computer science. The current call is open from 1st August till 30th September 2026. Other important prerequisites for working in our international and multidisciplinary institute
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, and interface-related energy losses Fabricate and evaluate complete single-junction and, where relevant, semi-transparent perovskite subcells using PL/PL mapping, XRD, current–voltage measurements, EQE
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. • Master's degree with excellent grades in computer science, mathematics, physics, engineering, medical informatics, biomedical engineering, or a related field • Very strong undergraduate and graduate record
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 17 hours ago
the SIMPLAIX consortium between the University of Heidelberg, Karlsruhe Institute of Technology, and the Heidelberg Institute for Theoretical Studies. The research will focus on generative models
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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering