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apply machine learning and AI-based models to uncover key regulatory networks underlying inflammation, aging, and regeneration Collaborate closely with experimental biologists, clinicians, and
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Neural Networks Deep Learning and Uncertainty Quantification Python and ML frameworks (TensorFlow, PyTorch, JAX) Reproducible and open-science practices Experience with geospatial, environmental
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partnerships with clinicians. Together, these initiatives provide ample opportunities for the recruited postdoc to build networks, establish collaborations, and advance their career development. To learn more
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simulation software (e.g., COMSOL, Aspen Plus, MATLAB). Gas chromatography and other analytical methods Energy and mass balances Excellence in both written and spoken English You will be working in
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following areas: Probabilistic or Bayesian Machine Learning Variational Inference, Ensemble, or Diffusion Models Spatio-Temporal or Sequential Modelling Graph Neural Networks Deep Learning and Uncertainty
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2026 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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2026 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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2026 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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the expertise, resources, and network of the Software Engineering section while also collaborating with the Center of Industrial Software (CIS) at SDU Sønderborg. Beyond your professional development, you will
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thatintegrate river network information, creating a hydraulicallyinformed AI approach that pushes the boundaries of streamflowestimation. QualificationRequirements: Appointment as Postdoc