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Field
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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description: You will have the following tasks: Development and optimization of micromanipulators and automated systems for microbiopsy together with the PhD student Integration of microbiopsy system into soft
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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materials processing and characterization, optimization of process yield and increasing process volume, and investigating the detailed mechanisms behind each process step. Percentage Of Time- 20% 2
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optimizing experiments, collaborating with other lab members to support complementary projects, participating actively in weekly lab meetings and research discussions (65%); • Write and publish high-quality
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spatially offset Raman spectroscopy (SORS) as a healthcare tool for use in the community for bone health. We are seeking a data analyst with a PhD in data science and expertise in chemometrics, machine
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maximal signal-to-noise and detection of picomolar levels of protein in the blood. The laboratory’s part of the project is to test and optimize this new strategy and subsequently use it to evaluate
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the optimization of cultivation processes and freeze-drying formulations for health-promoting bacterial strains, as well as the evaluation of application methods and concentrations for postharvest treatments
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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knowledge. The focus of the project can be defined in collaboration with the supervisor, with potential avenues including optimization aspects, parameter-efficient adaptation methods, model merging theory