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spatial transcriptomics data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution
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sampling and measurement approach for improved precision in soil carbon monitoring”. Important parts of the work are fieldwork, laboratory analysis, data evaluation and academic publishing. The employed post
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13 Mar 2026 Job Information Organisation/Company palevoprim Research Field Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15
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characterization (e.g. KPFM) of thin-film model surface for localized characterization across heterogeneous surfaces High-troughput data collection and physical parameter analysis for catalytic mechanism Exploration
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Gottfried Wilhelm Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 1 month ago
for a fully funded PhD position within the DFG Priority Programme SPP2389 https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389 . International collaboration The PhD is embedded in a close
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comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
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, transfer learning, federated learning, data integration, algorithmic fairness, survival analysis, and methods for heterogeneous and multi-source data. Training Environment and Career Development
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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. Desirable Skills: Basics in metabarcoding (16S rRNA data analysis). Basics in metabolomics. Basic knowledge in biostatistics and data analysis. LanguagesFRENCH Research FieldBiological sciences » BiologyYears