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expertise. The Clinical Epidemiology Unit (clinicalepi.de ) uses and develops modern statistical and mathematical methods for the analysis of primary and secondary data. A particular focus of the Unit is the
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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ML models and Python programming. Work Objectives: The main objective of this position is to develop, implement, and validate advanced machine learning methodologies within the scope of the project
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supervision/coordination of the grant: Carlos António Bastos de Morais Guerra. IV - Work Plan / Goals to be achieved: - Develop research work in the area of soil macroecology; - Participate in the development
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, offering one of the most stimulating environments for scientific development. Open to the world, it is a place teaming of interaction, with a diverse student population, efficient support structures, and
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Branch Office DRC Building D1, 1102A 19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail.: postmaster@daad.org.cn WWW: http
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics
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their selected nominations to G+PS by 4:00pm on Tuesday 24 February. The CIRTA nomination form and related documents are available to UBC faculty at: https://faculty-staff.grad.ubc.ca/administration/awar d
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: To have a PhD in Biology, Microbiology, Agricultural Sciences or related areas obtained within the three years prior to the date of application for this research grant;; The place of development
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conducted in close collaboration with Everllence (formally known as MAN Energy Solutions). The developed methods have to be tested in simulation and on real engines. Previous Work https://openreview.net/pdf