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Field
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focus here is on the transparent detection of erroneous or corrupted measurements using artificial intelligence. Current XAI approaches can provide relevant additional information (e.g. feature importance
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Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner Engage independently in data
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, transcriptomic and phenotypic data to generate mechanistic insights into metabolic adaptation Prepare scientific reports, presentations and manuscripts to communicate project results to the international community
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: Lead unbiased, data-driven integration of: Spatial transcriptomics data Genomic alteration profiles (copy number alterations, SNVs) Histopathological diagnoses and clinical metadata Radiomic features (in
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postdoctoral researcher, you will play a central intellectual role in shaping experiments, generating and analyzing high-dimensional data, and integrating single-cell insights with complementary datasets
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
University), and Vasiliki Pavlidou (IA-FORTH, Heraklion). This position centers on methodological and infrastructure development at the interface of astrophysics, information theory, and scientific computing
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animals. Our strategy will allow us to compare stress responses and behavioural data between different species and classes of pathogens, leading to important synergies by using standardised methods
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell
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or for an MSc or PhD (or equivalent) in medical engineering, applied medical sciences, public health, or data science in medicine. It funds students from Germany who wish to carry out research stays, internships
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, both written and spoken For further information, please contact Silke Benndorf (+493083864398). Applications should be sent by e-mail, together with significant documents, indicating the reference code