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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 18 days ago
. The Computational Health Center (CHC) at Helmholtz Munich drives research at the intersection of artificial intelligence, data science, and biomedicine with the goal of enabling more precise and predictive health
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attention to scientific rigor and interpretability Experience with XAI tools (SHAP, LIME, Integrated Gradients) to identify which features of the model are driving the predictions Clear written and verbal
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, such as Constituent Relationship Management (CRM) platforms, to optimize operational efficiency and the student experience Utilize data-driven insights and predictive modeling in coordination with
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the integration of behavioural data with AI. The student will analyse eye movements, exploration patterns, and verbal reports to develop computational models that predict identification reliability
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linear models Knowledge and implementation of machine/statistical learning methodology (predictive modeling workflow) R package development experience Demonstrated experience with Tableau (or Power BI
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algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python
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biogeography. A key focus lies in comparing past and present natural processes for predicting environmental changes. Start of studies in the winter semester (October) Opening of applications and publication
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trends and analyze internally and externally produced data. Build and present sophisticated models to predict and assess the likelihood of various outcomes. Strategic Initiatives (25%) Advance new programs
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(2024) https://www.nature.com/articles/s41591-023-02702-z Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. https://pmc.ncbi.nlm.nih.gov/articles