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Field
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advanced patient-derived tumour models and use them to test promising therapeutic targets that exploit vulnerabilities caused by loss of the SMARCB1 gene. This role offers an excellent opportunity to further
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the methodology is youth-centred and developmentally appropriate. This project will involve both qualitative and quantitative methods, including cognitive interviewing, feasibility testing, and longitudinal data
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or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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. Positions 1 and 3 are mainly based at AU Viborg, home to BCE’s mid-TRL experimental facilities, which support the development and testing of sustainable technologies on pilot scale. Position 2 is based at AU
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data analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 24 hours ago
on the sensor performance. The activity will be carried out at CERN in close collaboration with the ITS3 design and testing team. A strong background in instrumentation, electronics, and software development is
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building, operating, or testing astronomical instruments or telescopes on the ground or in space. Experience contributing to open-source software or hardware projects. Experience with technical communication
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the research group of Minoru Otani at the University of Tsukuba. The work will be based on the Effective Screening Medium (ESM), a method and software (https://sugino.issp.u-tokyo.ac.jp/esm/) for the study of
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introduces self-healing functionalities, reducing logistical challenges and environmental impact. How will you contribute? You will be mainly in charge of: · Conducting wet chemistry tests to optimize
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
generation (RAG) Prompt engineering experience Developing, training, and testing machine learning (ML) models Software engineering expertise Preferred Qualifications, Competencies, and Experience Experience