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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 7 days ago
Job Code: OR012 Job Offer from September 14, 2026 The Max Planck Institute for Chemical Energy Conversion (MPI CEC) in Mülheim an der Ruhr studies fundamental chemical processes for energy storage
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 13 hours ago
, chemistry, or a related scientific or technical field. If you are passionate about this intersection of AI and Life Sciences, we encourage you to apply! https://phd.aithyra.at/application-guidelines
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applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https
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Kang | Department of Pathology ) and review our recent publications (https://www.ncbi.nlm.nih.gov/myncbi/zizhen.kang.1/bibliography/public/ ). Applicants should have a strong background in molecular
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1700 € (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https://secretaria.uvigo.gal/uv/web/convocatoria/public/show/1892
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. Comprehensive characterization of the new developed nanomaterials Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research FieldChemistry » Inorganic chemistryEducation
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and evolutionary processes of national and international organizations). By fostering convergence among legal, political, social, and economic sciences—and utilizing cross-cutting qualitative
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, optics, the design and fabrication of photonic integrated circuits (PICs) systems to exploiting optical linear/non-linear signal processing to unlock fiber capacity and relevant higher layer protocols
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physical effects. The research activity will also involve the study, simulation, development, and experimental validation of signal-processing techniques and electronic circuits, with particular attention
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universities. The transition towards electrified and energy-efficient energy systems poses significant challenges in predicting the coupled behaviour of thermofluid, electromagnetic, and rotordynamic processes