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analytical skills for model formulation and optimization Demonstrated research potential, ideally with a track record of publications in relevant venues (journals such as IEEE T-ITS, INFORMS Transportation
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CISPA Helmholtz Center for Information Security | Stuttgart, Baden W rttemberg | Germany | 14 days ago
., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past
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dendritic cells can be associated with distinct gene expression patterns and immunological outcomes. However, current interactome analyses have so far been limited to inferred interactions based on cellular
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coherence, optical), including cross-modal fusion and modality distillation • Design a causation analysis framework combining deep learning with causal discovery & inference to quantify the influence
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transcriptomics and single-cell RNA sequencing on patient samples • Mining and analyzing public cancer databases (TCGA, GEO, etc.) and omics data • Inferring TLS formation and maturation stages from
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patterns and immunological outcomes. However, current interactome analyses have so far been limited to inferred interactions based on cellular receptor-ligand expression patterns. New technological advances
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, R) Expertise in machine learning, Bayesian statistics is beneficial Capacity for interdisciplinary teamwork and excellent communication skills Ability to communicate in English fluently
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from any nationality and hold, or expect to hold, a Master’s degree in a related subject. You have a proved track record of academic and research excellence and are fluent in written and spoken English
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imaging methodologies. In this project, novel techniques are being developed for tracking radio-labelled cells, either as cell populations or even individual cells. This is being achieved by combining whole
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. Bonus lectures can be picked by the students depending on their interests and project-specific requirements. Students can deepen their knowledge about selected topics (e.g. Bayesian Statistics, HMMs, AI