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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 16 days ago
of electrocatalysis, employing electrochemical and materials science characterization techniques to investigate additively manufactured 3D-structured electrodes for the catalysis of reactions of interest in energy
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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
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internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top
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of Structure-Activity Relationships: Exploring how the chemical structure of ligands controls receptor activation and how these processes affect physiological endpoints (e.g., satiety signals, cytokine levels
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of resistive switching mechanisms in meta/insulator/metal memristive materials Qualifications • PhD in Computational and Applied Physics • Proficiency using software for the simulation of atomic structure
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(ARG) needs no dynamic rate of self-fertilisation or hierarchical structure over processes on a host-to-host level. To estimate malaria epidemiological parameters using simulation-based inference, UniGEM
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. He/She will have to develop a solution and time-dependent Raman measurement methodology for monitoring the structural changes induced on the reagents during catalysis and for observing the appearance
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of construction sites and information management Mathematical models for infrastructure impact and infrastructure economics Eligibility: PhD obtained between 1 January 2019 and 31 December 2024 (date of thesis
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Understanding structure-property relationships in functional polymer materials Contributing to collaborative projects in organic electronics, energy-harvesting materials, and related device platforms Where
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, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute