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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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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
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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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this data. Clustering travel needs. To define different mobility needs and motivations based on the travel data, we apply different clustering algorithms (e.g., traditional k-means, density-based clustering
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Researcher, of the FCiências.ID Scientific Research Career, within the scope of the project HOFGA: The Hardness of Finding Good Algorithms (Ref. HORIZON-ERC-STG-101041696), financed by the European Union´s
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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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of Medical Genetics, in collaboration with Qurin PCR B.V. (Leiden, Netherlands), is looking for a full-time, skilled and motivated Ph.D. student to join our dynamic team. We are offering an exciting
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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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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