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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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basic research with science transfer to the public, the media and policymakers. Since 2009, the PRIF has been a member of the Leibniz Association, a national umbrella organization of outstanding non
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of Humanities Job Vacancy Starting: December 1, 2025 Contract Duration: 24 months Employment Type: 100% (TV-L E-13) Your Field of Activity: You will contribute to the MANTRAMS project’s Task Force 2 (TF2), which
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, paragraph 1 of the Act on Fixed-Term Employment Contracts in Academic (WissZeitVG). Your qualifications: Completed doctorate in economics (or near completion) Background in energy or industrial economics with
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industrial partner and support the overall scientific goals of the project. YOUR PROFILE PhD degree in chemistry, materials science, energy materials, or a related field. Experience with lithium-ion batteries
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soon hold) a PhD degree in Linguistics or a similar Language Science area are eligible for the role. The ideal candidate for this position has: a solid background in formal linguistics, particularly
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Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
(Leibniz Gemeinschaft) and committed to international standards of excellent science. The IWM invites applications for the position of a Postdoctoral Researcher as a Junior Research Group Leader (m/f/d
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Theoretical and Applied Mathematics, and Mathematical Economics. In this framework, the university looks forward to filling several Postdoctoral Positions The initial appointment will be for two (2) years with
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integrate large-scale sequence and RNA-seq data from internal and public resources. You build a reference library of predictive regulatory motifs. You use network analysis and random-forest approaches