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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 3 months ago
. The candidate will join ongoing projects in our team and perform mathematical/computational modeling. The topics include (1) constructing deep learning-based models to predict the molecular microenvironments
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methodological comparison between mechanistic vector control models and macroscopic SIR-type models calibrated on serological survey data. Currently, risk indicators (e.g., R₀ estimation) derived from mosquito
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controls analysis, simulation, modeling, and requirements management, to Space Telescope Programs. They will be a single point contributor who can independently work to develop simulations and software
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the physical mechanisms controlling the suspension response and work in close collaboration with experimental researchers within the project, providing modeling insights and helping to interpret experimental
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Data Processing & Modeling: Ingest, clean, structure, and manipulate large, disparate datasets (web analytics, social media data, marketing campaigns, CRM/demographic data, external research sources
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that combines data from different molecular levels (transcripts, proteins, metabolites), aided by in silico target prediction, will enable us to uncover putative target of the compound, which will then be
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on temporal data (predictive maintenance, sensory processing for robot control, etc), in which efficient on-device processing is crucial. We are looking for a highly motivated PhD candidate with an interest in
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(3) Machine Learning (ML) approaches that improve determinism and predictability across IBF and APPF processes. This position supports an integrated program encompassing advanced control for IBF, APPJ
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process modeling, simulation, and systems analysis Experience with experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control
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objective prediction of biological aging, but also the improvement of age-related phenotypes such as cognitive decline, muscle weakness, bone density loss, and kidney dysfunction. Our research is particularly