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optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences
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closely related field. We require documented knowledge and several years of research experience in: Functionalization of carbohydrates Hydrogel-based drug delivery systems Biological evaluation of materials
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools
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awareness (SA), like our work on Situational Graphs (S-Graphs), improve on existing techniques by combining 3D environmental maps with detailed knowledge about objects into a single, optimized model. First
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: The PhD Researcher will be responsible for the development of sustainable inks based on metal oxide nanostructures and two-dimensional (2D) materials, as well as for the optimization of the corresponding
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. This includes research on the optimal lithography process. Here, piecewise interference lithography will be investigated, the so called SMILE-process (Stepped Mask Interference Lithography Exposure). Objectives
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of HPLC-MS systems (experience with Q-TOF MS systems is an advantage) experience with the creation, optimization, and implementation of HPLC-MS methods, especially in the field of biomacromolecules
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microbiomes to optimize end-of-life material processing and circular resource recovery. This position will be part of the UT-ORII’s Circular Bioeconomy Systems (CBS) Convergent Research Initiative (CRI
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its