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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover cognitive operations in existing data, label
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under the guidance of the principal investigator. Projects will involve work with animal model and human patient sample experiments to investigate immune function in cell therapy and hematopoietic stem
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efficient transmission and robust communication. This work involves formulating rigorous analytical models, designing efficient algorithms, and establishing performance characterization methods that drive
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
Job description:Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the Mechanical Behavior of Ion-Irradiated Nuclear Structural Materials within Materials
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to generate new knowledge Integrity: earning the trust of those we serve and each other through honesty, transparency, accountability, and continuous reflection Collaboration: approaching all opportunities with
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Lagrangian transport models; • Expert knowledge of programming, preferably in Python and/or Fortran. What we offer: A longer-than-average postdoctoral contract with freedom to choose your specialized
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Job Posting Title: Post Doctoral Scholar The Opportunity: The School of Modeling, Simulation, and Training (SMST) at the University of Central Florida (UCF) invites applications for a Postdoctoral
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completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development and/or fine-tuning. A practical mindset
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animal models for hematopoiesis Experience in high-throughput data analysis, such as single cell RNA sequencing Knowledge in R and foundations of statistics Experience with CRISPR/Cas9 (or similar) genome