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                supervision of PI Calina Copos and will engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based 
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                Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve 
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                explores the interactions between wood-eating teredinid bivalves (commonly known as shipworms) and their intracellular bacterial endosymbionts. Shipworms offer an exceptional model system for studying 
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                The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment 
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                endosymbionts. Shipworms offer an exceptional model system for studying symbiont acquisition and intracellular infection, as both the hosts and their symbionts can be cultured in the laboratory. Their symbionts 
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                Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve 
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                Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve 
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                a strong foundation in at least a few of the following areas: high-mobility materials based printed electronics, transient electronics (various sensors, circuits, energy devices etc.), degradable 
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                be reappointed on an annual basis based on the continued availability of funding. QUALIFICATIONS: A successful candidate will hold a PhD in a cybersecurity-related field and demonstrate strong 
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                and conduct cutting-edge research on disease dynamics and epidemiological modeling. The candidate will develop and apply mathematical and computational models to understand the transmission, evolution