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School (UMass Chan) develops and applies cutting-edge computational and big-data approaches to understand the genomics, epigenomics, and regulatory functions of noncoding RNAs in human disease. We develop
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-related traits, and heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a
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of the IMPRS reflects the development of molecular genetics into an information science, based on the plethora of experimental data that are nowadays available and steadily being produced about cellular
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. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
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genetics. With guidance and supervision from both experimental and computational perspectives, this program is ideal for graduates in fields such as molecular biology, biochemistry, mathematics
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the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints
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Bias in Amino-Acid Substitution Patterns Prediction, Modeling, and Refinement of Nucleic Acid Structures Profile of the graduate The graduate understands key areas of informatics, such as algorithms and
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23 Mar 2026 Job Information Organisation/Company NOVA Information Management School (NOVA IMS) Department Recursos Humanos Research Field Information science » Information management Researcher
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on high-fidelity modelling and test data for both metals and thermo-set composite materials. To achieve this we will explore the use of advanced genetic algorithms and/or Artificial Intelligence (AI