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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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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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(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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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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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
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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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of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud
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immunoassay techniques (ELISA, NULISA, or related platforms)•Interest in RNA-seq and multi-omics data analysis; prior experience with bioinformatics is an advantage but not mandatory•Ability to critically