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processes. This has created a need to offer doctoral candidates a broad education and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and
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, teamwork skills and good work ethic Responsibilities: 1. Managing the equipment and conducting research using GC-MS (“metabolic tracing” technique) 2. Analysis and reporting of experimental data 3
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researchers and other collaborators, or may act independently, in planning and designing research experiments. Data collection, processing and analysis. May train research staff, graduate or undergraduate
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secondary data sources for research; use and analysis of quantitative data in concert with extensive in-depth literature reviews and related written summaries targeting AI topics; completion of human subjects
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9 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar
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molecule crystals using either electron or X-ray diffraction techniques. While candidates with experience in structure analysis based on powder diffraction, neutron diffraction, or scattering data will also
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genetics-oriented focus. The PhD fellow will work with large-scale longitudinal and family-based data, including genomic data, population registers, and cohort studies, to investigate how genetic
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 4 days ago
well as bioactivity of seafood and insects, prepared products and co-products, ii) development of food prototypes, (iii) data processing, and iv) analysis of results. The candidate will also be involved in several
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completion of approved research projects, including study design, data acquisition, statistical analysis, interpretation, and manuscript preparation. Collaborates with the PI and research team to conceptualize
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research, research groups require access to high performance data storage for data-intensive processing, visualization for data analysis, GPUs, access to cloud services and research infrastructure skills