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journals and edited volumes, and present your work at international conferences. Collaborate with our digital humanities team to engage actively in the development and data curation for the "OMnibus of
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in forests across climates and mycorrhiza types”. The work is done in collaboration with other team members based on already existing and new experimental datasets. The candidate will be able to co
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 10 days ago
site, theoretical work is led by Prof. Angel Rubio at MPSD. We are currently inviting applications from enthusiastic and talented researchers to join the teams of: Dr. Michael Ruggenthaler – Mathematical
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sector that is fit to meet the targets and challenges of climate change, biodiversity loss, food security and sovereignty, and the environment, while ensuring a profitable and attractive activity
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, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are looking forward to your scientific expertise at the Clinic of Neurology – ideally with you on board
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of functional datasets (e.g. functional magnetic resonance imaging data or electrophysiological recordings) with the neurotransmitter receptor maps Work closely with an interdisciplinary team of neuroscientists
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 2 months ago
Analysis of experimental results Expertise in spectroscopic measurements and/or Scanning Probe Microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a
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is seeking a qualified junior researcher or postdoctoral scientist responsible for the estimation of future fire risk with the use of the updated SPITFIRE model, based on future projections of
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key