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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 3 months ago
Strong Coupling”), funded by a prestigious Synergy Grant from the European Research Council (ERC), investigates how quantum electrodynamics can be harnessed to control chemical and physical processes
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-scale controllable, and cost-efficient disease models by bringing together experts in physical chemistry, physics, bioengineering, molecular systems engineering, machine learning, biomedicine, and disease
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a circular process based on users and stakeholders engagement, co-design and assessment of innovative climate services. The proposed methodology will employ high resolution regional Earth Systems
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
of marine microbial communities (based on metabarcoding, metagenomes, metatranscriptomes) Expertise in bioinformatic tools and pipelines for data pre-processing, Amplicon Sequence Variant (ASV) table
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functions of soil food webs in forests dominated by different mycorrhiza types (ecto- and arbuscular myсorrhiza). The position is linked to the Emmy Noether project “Soil food web control of the carbon cycle
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research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
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research outcomes to project stakeholders and the research community at meetings, conferences and by publishing in high-impact journals This position is within the Quantum Information Processing research
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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18.10.2021, Wissenschaftliches Personal In a DFG-funded project on infection of the liver with hepatitis B viruses, we are characterizing the immune determinants for control of infection vs failure
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important to oversee the general robotic testbed development, including the control and sensing architecture for seamless integration of systems from the bottom-up. The operator would require the crucial