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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and
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Postdoctoral Researcher positions to support its growing research portfolio in renewable energy-driven water production and condensation-based system optimization. The positions are designed for early-career
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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experiments, including occasional wet lab work Merging experimental results, simulations, and literature for optimal conditions inducing movement differences, in collaboration with the team. Participation in
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, and IMU/GNSS systems (30%) Support flight operations and field deployments at forest test sites (20%) Share your work through publications and open-source contributions (5%) Required Qualifications PhD
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for academic development, interdisciplinary collaboration, and international networking Entry requirements We are seeking a highly motivated postdoctoral fellow with the following qualifications: A PhD (or near
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» Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 12 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status
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species. It can be fine-tuned for downstream applications such as predicting genetic perturbations, optimizing photosynthetic apparatus for performance, selecting top performing genotypes for various
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to maintain system stability during major disturbances (e.g., generator outages, transmission line failures, or system separations) Developing methodologies for optimally allocating these services based
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multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation