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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
-based Structural Biology (Prof. Dr. Christian Griesinger) is inviting applications as follows: Organisation / University: Max Planck Society / University of Göttingen Research Field: Biochemistry
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. Solid foundation in algorithms, data structures, and performance optimization. Experience developing scalable, high-performance applications with real-time processing capabilities. Ability to design and
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV
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to the specific research problems Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques Optimize and extend algorithms, analysis pipelines, and software in
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configuration, implementation, optimization, and ongoing maintenance of the Slate CRM platform in support of enrollment management operations. The primary function of the Enrollment Systems Department is to
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considered. ● Two (2) years of full-time, relevant programming experience using SQL. ● Experience in object-oriented languages and structured query language. Preferred Qualifications: ● Experience
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Manager. This is a full-time (1.00 FTE), 12-month, professional faculty position. The Web and Digital Experience Manager leads the strategy, performance, and continuous optimization of Enrollment
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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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bioimaging services (wide field, confocal laser scanning, stimulated emission depletion microscopy, structured illumination microscopy, single-molecule localization microscopy, imaging analysis) in a shared