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human tissue-on-chips for disease modeling and drug development, and generating patient-specific brain organoid to model neuropsychiatric disorders and to address opioid usage disorder. See the
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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research team and support us in our efforts to develop refined preclinical models for high-impact emerging viruses. You will be directly contributing to global pandemic preparedness efforts in a One Health
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. This postdoctoral position at KTH focuses on developing advanced modelling frameworks and techno-economic analyses within two national research projects addressing virtual energy sharing and large-scale
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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, and Azure—and designs future-state structures that support data products, analytics, automation, and AI/ML enablement. Establishes enterprise data standards, models, governance structures, and
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observational and modelling approaches to ice-shelf processes The doctoral student is expected to: Develop research questions within the thematic scope of Antarctic ice shelf interactions Analyse observational
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
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model organisms in their work and are pushing into emerging model and non-model organisms that are proving uniquely valuable in particular studies. To learn more about our department, https