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. Advanced cell and mitochondrial biology: primary human fibroblasts, mitochondrial bioenergetics, import assays, respiratory chain phenotyping, in vivo disease models. Multi‑omics: single‑cell and bulk
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mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
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Project summary: This PhD develops and evaluates a GPT-based AI co-facilitator for Group Model Building (GMB) workshops, supporting stakeholders in constructing Causal Loop Diagrams of complex socio
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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Intelligence (AI) models for monitoring and analyzing complex processes, with particular attention to compliance with transparency, interpretability, and reliability requirements. In this context, a systematic
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for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper
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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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: 87645BR Supervises staff involved in providing clinical patient care. Assists in ensuring the quality of patient care delivery in a specific patient care area and serves as a role model for professional
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of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation of existing approaches for scientific applications
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modeling of polymeric, reinforced, and porous materials, with strong expertise in large deformations and numerical homogenization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7649-JULDIA