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manufactured using 3D printing (SMART-S2H3D)" (project leader: Prof. Dr. Hab. Eng. Magdalena Rucka), in particular: * optimization of the geometry of conductive composite samples manufactured using 3D printing
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electrochemical sensors. The primary responsibilities will include the design and optimization of advanced nanostructures, the development of signal processing mechanisms, and the creation of diagnostic solutions
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materials exfoliation. We want to design an optimized shape of optical terahertz resonators, focusing on the magnetic component of incoming THz waves. Attention to the magnetic field requires an innovative
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fluorescence microscopy 2. Experience in working with high-throughput screening 3. Knowledge in the field of optimization of molecular biochemical or cell-based assays will be an advantage of the candidate
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Description KEY WORDS: Medicinal chemistry, “Hit to lead” – molecules optimization, Chemoinformatics, Bioinformatics, Data analysis, Machine learning, Artificial intelligence Recruitment to Laboratory
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Engineering TASKS/ROLE Tasks for post-doc in proposal nr. 2021/43/D/ST5/01828: * design and optimization the best method for the synthesis of conductive hydrogels with the use of conductive polymers * tests
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, understanding their dynamics, and optimizing their performance. This includes research on quantum thermal machines, quantum batteries, quantum gates. The group’s tasks include: designing scenarios for efficient
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are: analysis of physical implementations of quantum devices, understanding their dynamics, and optimizing their performance. This includes research on quantum thermal machines, quantum batteries, and quantum
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to determine the optimal configurations of these nanocomposites in immunosensors to achieve the highest precision and efficiency. The hypotheses driving this project assume that MXene nanocomposites will
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error-correcting codes, novel schemes of mutually unbiased bases, and symmetric informationally complete generalised quantum measurements that provide optimal measurement accuracy. Furthermore, we plan