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topic: “Topology optimization and residual stress modeling for additive manufacturing of Ni₃Al-intermetallic based alloys” Supervisors: Sup. Researcher Tatevik Minasyan, Department of Mechanical and
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focuses on the study of large-scale circulation in the Atlantic Ocean, combining oceanographic data analysis, satellite observations, and numerical modelling to better understand tropical–subtropical
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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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eligible for social prescribing, and examining referral uptake and engagement with services over a six-month follow-up period. The second strand will extend existing NLP models to detect indicators of social
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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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genetic screens in Primary and cell line models of T-cell lymphomas and characterize their oncogenic dependencies, and functionally validate them using CRISPR-based genetic perturbation approaches. Through
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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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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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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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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