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and grippers offer improved safety and adaptability but introduce new challenges in design and control. Their development is still largely bio-inspired and trial-and-error based. Integrating flight and
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the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative
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Internationale L'Europe Souveraine à l'Université de Pau et des Pays de l'Adour") and the development of the rule of law in the Global South. Being part of the project will allow the doctoral researcher to enhance
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. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop machine learning surrogates of wind energy systems. As newer
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to neurodegenerative diseases of the central and peripheral nervous system, with an emphasis on understanding the genetic etiology and developing diagnostics and treatment methods for these diseases. Approaches range
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/immunotherapies are insufficient due to resistance development and limited efficacy. Personalized medicine, focusing on novel prognostic and predictive biomarkers to identify patients that will respond to treatment
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malignancy and is the second leading cause of cancer-related deaths worldwide. Current treatment options such as chemotherapy and targeted/immunotherapies are insufficient due to resistance development and
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techniques) at UGent combined with machine learning, deep learning and data fusion modelling to enable development of novel decision support systems for variable rate fertilization and manure application. He
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effective risk assessment and solutions. Trees4Adapt will 1) enhance empirical understanding of climate change, biodiversity loss, their interdependencies, and how these influence risks; 2) develop evidence
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325