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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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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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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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of existing structures. Residual load-bearing capacity of damaged existing structures. Design, optimization and calculation of robotically printed concrete structures. Sustainable concrete with a focus on the
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complement or strengthen the competences of the section. For this call, we are looking for people who work in any one of the following areas: Automated reasoning, e.g., Optimization, Satisfiability (SAT / SMT