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) Molecular Biology, Biology, Biochemistry, Physiology, Pharmacology, Microbiology, Immunology, other biomedical sciences. Required Experience: Minimum 2-5 years of completed mentored postdoctoral scientific
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
programming, machine learning (scikit-learn, PyTorch/TensorFlow), ontologies (OWL/RDF), and/or computational cognitive modelling Interest in interdisciplinary research at the interface of computer science
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The Franciszek Górski Institute of Plant Physiology Polish Academy of Sciences | Poland | about 1 month ago
qualifications Experience in one or more of the following areas will be considered an advantage: RNAseq analysis pipelines, systems biology, modelling biological processes, or machine learning approaches, redox
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assimilation, machine learning, and optimization techniques. Experience in student mentoring. Publications in leading journals within the field. Preferred Qualifications PhD in Environmental Modeling. More than
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working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems
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translating our passion for chemistry to young scholars at all levels in many scientific fields. To learn more, please visit our website: http://www.chem.tamu.edu/ We are a prestigious university with strong
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are an interdisciplinary research team that integrates single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine learning to investigate how the human brain
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
of the institution with opportunities to teach postdoctoral clinical and research fellows, residents, and medical and graduate students. The candidate will provide coverage on our inpatient hematology-oncology unit
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data