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of elements) of the model.; 3) develop an optimization algorithm based on genetic algorithms and metamodels and 4) design functionally graded OC scaffolds using different biomaterials. The doctoral candidate
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participants of the Netherlands Twin Register, integrating genetic and psychological data where relevant. Beyond algorithm development, you will also address methodological challenges such as data quality, bias
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range of disciplines, including evolutionary biology, ecology, computational biology, genetics, and comparative genomics. The build-up of biodiversity gradients from spatial diversification dynamics 1
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for Molecular Genetics or Freie Universität Berlin, this doctoral program is your ideal pathway! The International Max Planck Research School for Biology and Computation is a collaboration between Freie
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Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
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and added parasites. The main work of the PhD candidate entails quantitative genetics experiments testing for G×E. The interdisciplinary nature of the project provides a unique opportunity to obtain
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function in similar experiments with different combinations of altered temperature and added parasites. The main work of the PhD candidate entails quantitative genetics experiments testing for G×E. The
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are currently focusing on organ bending during ovule growth, chirality establishment in plant tissues, cell wall mechanics and feedback between genetic signaling and mechano-sensing (for more background see Mosca
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preprocessing IoMT network traffic datasets. Implement and evaluate machine learning algorithms (e.g., logistic regression, SVM, random forest) for intrusion detection. Develop prototype software tools (e.g
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of approaches based on algorithms, artificial intelligence and other analytical methodologies in the processes of detection, stratification, monitoring and communication of risks related to medicines and medical