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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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, sustainability objectives and future uncertainties into a unified decision-making framework. The candidate will develop probabilistic modelling and stress-testing approaches, including Monte Carlo simulations and
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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systems [9], and modeled the corresponding kinetics under simulated conditions [10], without elucidating reaction pathways. Access to measurements is indeed particularly difficult: i) short drying time (≈ 4
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demonstration ships in the early 2030s. Within the SAINT project, you will work in Work package 5. Controlling a nuclear reactor on a ship presents a fundamentally different challenge from controlling a land
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-key generation. ▪ Simulating wireless communication systems under different adversarial scenarios, including passive eavesdropping, active spoofing, and intentional jamming. ▪ Analyzing the influence
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interactions that control natural changes in Amazon climate and vegetation under different climatic forcings of the past two glacial cycles. This project provides a dynamic working environment between about
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international center (0.5 points per month, maximum 1.5 points). - Demonstrable experience in the treatment and follow-up of different types of neoplasm (0.25 points per type of neoplasm, maximum 1 point). - PhD
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will be the Head of Department. Duties of the position Complete the doctoral education programme Carry out high quality research Develop material integrity predictive framework using different
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professionals Analyze data, assess different perspectives and draw well-founded conclusions Be flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We