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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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researcher in structural bioenergetics (m/w/d) Your tasks Production, purification and downstream optimization of terminal oxidase samples for structural studies via cryoEM. Stable adjustment and spectroscopic
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(EKFZ: https://ekfz.uni-goettingen.de) Your tasks Large-scale and in-depth characterization of optimized Channelrhodopsin variants for basic research in neuroscience and future optogenetic therapies
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‑ray sources in the sky. Your tasks: Advising the Instrument Principal Investigator, Prof. Kirpal Nandra, on strategies to optimize the scientific performance of the instrument Leading the development
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genome sequencing and related molecular biology techniques Development, implementation and optimization of protocols (e.g., DNA/RNA extraction, library prep) User training and troubleshooting Coordination
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design, fabricate, and test high efficiency superconducting nanowire single-photon detectors (SNSPDs) and detector arrays optimized for mid-infrared spectroscopy. The goal of this work is to develop both
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
are to optimize an experimental setup for simultaneous tension/compression testing and localized corrosion measurements, including monitoring of local pH and dissolved hydrogen and oxygen concentrations
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
, with a focus on RNA biology and modifications Develop, optimize, and maintain bioinformatics pipelines for data preprocessing, analysis, and visualization Perform integrative multi-omics data analyses
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into a particle accelerator. Tasks: We search for candidates with interest in new AMS measurement strategies; this includes: optimization of the ion-laser interaction for accelerator mass spectrometry
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conception Calibration and data assimilation Uncertainty quantification Surrogate and operator learning to accelerate simulation Optimal experimental design Model-based control / decision support Applications