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detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs. You will
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refines algorithms and workflows for crop and pasture monitoring, modeling, prediction, and decision support and automation; Supervises graduate research assistants and student interns working
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and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier
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, RNAseq, serum proteome, WSI), incorporating the clinical data, primarily for the identification of biomarkers that predict response to treatment. The spatial studies will be a key focus, but integration
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 25 days ago
Description The department EPID, led by Prof. Berit Lange, at the Helmholtz Centre for Infection Research (HZI), isoffering the position of a Doctoral researcher (f/m/d) Modelling vector-borne diseases in
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and ML pipelines for drug synergy, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is
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predictive models, and interpreting large environmental datasets, collaborating in interdisciplinary projects and in the production of scientific publications. In the performance of duties, it may sometimes be
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research. Experience applying machine learning and statistical modeling techniques to large biological datasets for biomarker discovery, disease prediction, or host-pathogen investigations. Proficiency in
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the conditions of crop, pasture, and their environment with advanced remote sensing and geospatial technologies; Develops and refines algorithms and workflows for crop and pasture monitoring, modeling, prediction
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statistical methods to large-scale medical datasets (EHR, imaging, genomics, clinical trials). Design algorithms and predictive models to advance diagnostics, medical devices, healthcare access, and