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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous
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with chemists and materials scientists is essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is
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essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into ¿human in the loop¿ workflows. This post is available for two years. Keywords: Geometric Deep
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essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is available for two years. Keywords: Geometric Deep
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global supply chain logistics. While ML has the potential to transform both applied large-scale optimization and theoretical combinatorial optimization, algorithmic reasoning remains a significant
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or according to agreement. Short Introduction We are recruiting a Doctoral Researcher to the project “Systems Pharmacology for Rational Combinatorial Cancer Therapy” in the Systems Pharmacology Jafari Lab
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combinatorial panning methods, including phage and mRNA display, to identify de novo peptides for promising biomarkers lacking a natural ligand or lead structure. We then optimize peptide ligands for affinity and
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areas Biomedical applications, social determinants of health or other demographic health areas Spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network
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for the position. Knowledge of TSN or real-time networking. Experience with one or more of: combinatorial optimization algorithms, ML algorithms, timing analysis network calculus, real-time systems. Excellent
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(Sainz). The selected candidate will work under the guidance of Assistant Prof. Cihan Okay. We welcome applicants whose research focuses on quantum computing and intersecting areas of combinatorial