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capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem solving. Diverse research areas: Work on numerical models, analyzing large data sets
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scientific hypotheses numerically further develop the theoretical framework of the project extend and develop methods to apply functional connectivity methods and causal frameworks to neuronal spiking data and
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leading interdisciplinary research centers in the field of food, nutrition and health. It brings together researchers from food science, nutrition, medicine, life sciences and engineering to investigate how
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
science, biostatistics, mathematics, physics, biomedical engineering, or a related field Demonstrated ability to think scientifically, develop hypotheses, and conduct independent research Very good programming skills and
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of many-body physics, realizing unprecedented phases of matter characterized by their quantum-information content. This doctoral project addresses a central question for quantum technologies: how can the
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantum Computing for Power Systems Security At the Institute of Climate and Energy Systems Engineering (ICE-1), we
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
of sea ice conditions, there is the opportunity to develop more robust and higher-resolution data products useful for Arctic communities. This PhD project falls within an international effort to co-develop
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Degree PhD Course location München Teaching language English Languages The main language is English, but in the elective area courses in German can also be taken. Full-time / part-time full-time
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education laws. Where to apply Website https://www.stemcellcenter.lu.se/RAMP-UP/phd-applicants/how-apply Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Research
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), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to [email protected] or to: TU Dresden, ScaDS.AI, Prof. Dr. Michael Färber, Helmholtzstr