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one of your main responsibilities will be to participate in and help optimize and develop our next-generation sequencing (NGS) workflow. This will include sample preparation either manually or by liquid
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models Develop and optimize advanced protocols (e.g., single-cell assays, CRISPR-based screens) Collaborate with an interdisciplinary network of computational biologists, clinicians, and international
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reversible CO2 heat pumps. Development and demonstration of an energy optimizing algorithm for reversible CO2 heat pumps (with and without ejector): (i) Use of the previously implemented simulation model
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research areas include, but are not limited to, approximation algorithms, combinatorial optimization, cryptology, data structures, fine-grained complexity, and algorithmic research bridging to ML/AI. Tenure
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include the following activities: Material development, synthesis and method optimization Metal nanoparticle catalyst and ceramic material and cell component comprehensive characterization and benchmarking
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accumulation in the environment. Recent studies identified natural bio-converters, such as bacteria and fungi that contain efficient PET-degrading enzymes (PETases). These PETases are currently being optimized
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that match the position's content and responsibilities. The applicant is expected to have expertise in the design and optimization of electrical and mechanical components, including actuator selection and
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for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and
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of scanning workflows and optimization of acquisition parameters. Prepare documentation, figures, and short reports summarizing experimental outcomes. Qualifications Experience with data analysis, signal/image
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to optimize performance and interpretability, analogous to RAG (Retrieval-Augmented Generation) in LLMs Investigating multiple models for analysis, focusing on the Occam’s Razor principle of preferring simpler