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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 6 days ago
, virtual twins for improving public safety, and "corrective optics" for biased digital trace data, the network aims to push the scientific frontier and explore how automation and AI reshape the social fabric
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data in peer-reviewed journals and at conferences. Organize seminars and workshops. Hosting visiting speakers. Mentor graduate and undergraduate students. Qualifications PhD in Physics. A well-qualified
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learning simulations - Growth of metallic heterostructures by sputtering / ALD - Optical and e-beam lithography - Ion beam and reactive etching - Fabrication of skyrmion based nano-devices - Electrical
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Requirements master’s degree or equivalent in Materials Science or Physics as well as a PhD with a focus on magnetic materials or applied micromagnetism relevant publications in the field of magnetic materials
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, making use of intelligent AI-driven control planes. The applicants should have a solid theoretical background on machine learning, optical networks and fibre sensing and be willing to engage in testbed
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spacecraft and associated data governance challenges; obsolescence of traditional ways to deploy and sustain ground segment systems; new forms of space communications, such as optical and quantum technologies
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Physics » Optics Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4) Positions Postdoc Positions Application Deadline 1 Jul
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problems. Major Duties/Responsibilities: Perform processing and analysis on multimodal data streams, including RF, optical, and spectral signals Develop statistically defensible algorithms to identify and
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applications in energy-efficient computing, thermal management, and energy conversion. We seek candidates with strong expertise in building and conducting ultrafast time-resolved optical experiments. Key skills
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storage, and optics. From AI modelling of materials and biological complexity to the design of multifunctional micro- and nano systems, we combine theory, fabrication, and innovation to tackle challenges in