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data products. The Senior Data Engineer leads the end-to-end development lifecycle - data ingestion, transformation, modeling, testing, deployment, and monitoring - while championing modern engineering
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the integration of behavioural data with AI. The student will analyse eye movements, exploration patterns, and verbal reports to develop computational models that predict identification reliability
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Job related to staff position within a Research Infrastructure? No Offer Description PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1
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Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Job ID: RTG2947-T2/2 Title: Surrogate metamaterial modelling
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morphodynamics of geologically controlled coastal barriers, including expertise in analysis of satellite imagery and implementation of XBeach model to mixed sand and rocky coastal systems. Preferential factors
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14 Jan 2026 Job Information Organisation/Company Rīga Stradiņš University Research Field Computer science » Modelling tools Medical sciences » Health sciences Technology » Medical technology
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, development, and evaluation of a digital twin model for on-site, renewable-driven green hydrogen generation systems. The successful candidate will contribute to an industry-sponsored applied research project
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 18 hours ago
, improving lives. The Horvath Lab at the Institute of AI for Health (AIH) aims to build large deep learning models for digital pathology to resolve single cell heterogeneity and identify subtle cellular
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progression. Using murine and humanized models, human patient samples, single-cell multiomics (CITE-seq), advanced flow cytometry, proteomics, and mechanistic studies, we aim to identify therapeutic targets
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manufacturing technologies and eager to develop and build experimental setups and combine this with physics-based modelling? Join us as a PhD candidate and contribute to making volumetric 3D printing predictable