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Neptune have thick outer envelopes composed of hydrogen-rich gas, whereas water worlds would be devoid of hydrogen. This project will focus on developing atmospheric models for ‘sub-Neptunes’ (planets
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research group investigating synaptic function and calcium channel signaling in health and disease. Our research combines neuronal cell culture models, molecular and biochemical approaches, fluorescence
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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be paid to the relationships between the energy source (UV or EB), conversion, network structure and final properties. The work will focus primarily on the study of model polymerisable formulations
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mouse models, primary astrocyte culture, transcriptomics, and advanced imaging, you will identify the molecular signals linking neuronal JAKMIP1 dysfunction to altered astrocyte behaviour. Training across
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. Theory and modelling of EIT and four-wave mixing will guide the experiments, alongside group work on nanophotonic design. The student will work across device fabrication, cryogenic QD optics and atomic
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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Uppsala University, Department of Information Technology Are you interested in probability theory, statistics, and mathematical modelling? Would you like to develop new methods for uncertainty
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consequences, and assess the effectiveness of the adopted mitigation measures. Model-Based Safety Analysis (MBSA) is listed as an acceptable and recommended means of compliance to perform safety assessment in
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 2 days ago
for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established