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(or equivalent) in a health-related field Experience with mixed methods research, systematic reviews & data analysis Strong communication and organisational skills Australian citizenship or permanent
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spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts. LanguagesENGLISHLevelExcellent Research FieldPhysics
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master's and bachelor's degrees. Fluent English, written and spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts
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modification. As a PhD student you will use state-of-the-art, and transferrable techniques such as antibody-based glycome profiling, HPLC sugar analysis, and plant stress bioassays to map these cell wall changes
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IMPRESS-U_30.12.2025.pdf English (151.93 KB - PDF) Download Additional Information Benefits A full time position funded with a PhD scholarship (4791 zł/month). Participation in the project requires four
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Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze | Italy | about 5 hours ago
• Stem cell analysis in cancer • 2D and 2D complex in vitro cell and organoid cultures • Spatial and Liquid biopsy processing and analysis • Cell engineering • Bioinformatics and data analysis Where
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multidisciplinary approaches, including advanced bio-imaging, image analysis, cell biology, genetics, and molecular biology. Find out more about our research group here: https://tymri.ut.ee/en/content/developmental
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| SCK CEN Selection process See PhD theses | SCK CEN Additional comments See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en/thesis-and-internship-topics/reactor-kinetics
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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to the following: SDSC6012 – Time Series and Recurrent Neural Networks SDSC6016 – Predictive Analytics and Financial Applications SDSC8013 – Statistical Methods for Categorical Data Analysis (For detailed course