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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental
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packages that include the elicitation, expression, and structural elucidation of novel antibiotic candidates, as well as lead generation and optimization. In the end, the research is projected to lead to a
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for these polymers and implement computational algorithms to assist their optimization. The RISE Polymer Lab is dedicated to developing the next generation of robust, intelligent, sustainable, and evolving (RISE
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dedicated to advancements in sustainable energy through innovative research and training. Our focus lies in the design, development, and optimization of inorganic materials for various sustainable energy
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of HBGI interventions at three European sites; · Monitoring of physical, ecological, and social performance compared to traditional grey infrastructure; · Iterative design optimization in
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, Food Chemistry and Technology, Biotechnology, Chemical Engineering, or a related field. *Proven experience in bioactive compound extraction, and bioactivity testing. *Experience in process optimization
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in Kenya. The insights gained from your research will contribute directly to optimizing the deployment of spatial repellents to reduce malaria transmission. You will be part of a diverse and
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control for iPSC lines. • Establish and optimize experimental protocols and analytic pipelines for assays (e.g., imaging-based biomarker assays, metabolic flux assays), multiomics profiling, and
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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automated experimental systems to measure electrode performance and durability over extended operation. Investigate electrode material performance, aging, and degradation mechanisms for bioprocessing