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assembly in different environments. Understanding the mechanisms of forest recovery is crucial to design effective forest landscape restoration strategies; it determines where natural regeneration can be
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synthesis of the importance of landscape context for seed dispersal and community assembly in different environments. Understanding the mechanisms of forest recovery is crucial to design effective forest
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on experimental analysis, theoretical understanding and predictive modelling of complex mechanical behavior in engineering materials at different length scales (e.g, plasticity, damage, fracture), which emerges
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similar. Grade of 8.5 or higher on MSc thesis exam. Experience with FEM tools (COMSOL and Sentaurus are ideal). Extensive experience with developing electrical benchtop experiments. Hands-on experience with
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requirements Master Degree in Electrical Engineering or similar. Grade of 8.5 or higher on MSc thesis exam. Experience with FEM tools (COMSOL and Sentaurus are ideal). Extensive experience with developing