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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive
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, through the rational design and optimization of microalgae-bacteria consortia, metabolic pathway regulation, nutrient partitioning, and bioreactor performance. You will become part of an international
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for this position will be: Solid modeling and design of high-performance integrated photonic devices Process development of low-loss photonic integrated circuits on different material platforms Heterogeneous
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
. Your mission and contribution are to: Design, implement, and optimize plasma-based thin film deposition processes Develop and operate a dual PECVD–reactive magnetron sputtering deposition strategy within
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/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning
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of Chemistry as part of a Novo Nordisk Foundation project on the semi-synthesis of pleuromutilin derivatives as new antibiotics. The position is available for 1.5 years. The research group specializes in
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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peptide ions, including charge state behavior and fragmentation pathways Independently operate, optimize, and troubleshoot state-of-the-art MS instrumentation, including Orbitrap platforms and TIMSTOF
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) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio frequency
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performance and/or prior publications Solid knowledge of wireless communication systems Background in optimization and information theory is desirable Interest or prior exposure to positioning technologies