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for industrial production focusing on Tenebrio and black soldier fly. The tasks will include: Establishing nutrient requirements for optimal production and resource utilization in insects produced at an industrial
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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tissue engineering, including endothelial cells, smooth muscle cells, and stem cells. Design/Test novel 3D systems: Design and optimize 3D systems to mimic the physiological environment of blood vessels
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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell
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, including maintenance, alignment, quality control, trouble shooting and cleaning Supporting scientists in their work on the microscopes, in particular regarding optimization of sample preparation and
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developing and optimizing in vivo models for disease research. Technical Procedures & Research Support: Conduct genotyping, including ear punching, tail snipping, DNA extraction, and PCR analysis. Perform
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profile to the existing research areas at the institute in order to optimally complement the existing competencies. Cooperation and networking within the faculty especially with the institute of pharmacy
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specialized development and product teams tailored to your project’s unique needs—facilitating rapid iteration and optimized drug development pipelines. Joining our venture studio connects you with a vibrant
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, optimizing performance and ensuring strategic execution while providing guidance, support and setting clear objectives. Assign tasks effectively, outlining clear accountabilities, milestones and required
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of robotics Solid mathematical foundation paired with practical robotics experience Strong programming skills in (at least one of) Python/C++ Familiarity with robotics frameworks like ROS; optimization-based