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challenge for health and care services. You will work with, and under the direction of, the Collaborations Programme Manager to support the effective delivery of MLTC CNC programme activity and the activity
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(University of Helsinki). To train the DCs as the next generation of micronutrient researchers in our international and interdisciplinary program, MICROSUNSET brings together experts from several disciplines as
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and its application Demonstrable hands-on experience with Big Data frameworks such as Apache Hadoop, Spark or Kafka for processing distributed datasets. High level of proficiency in Python Experience in
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research team, as the COLO-SPEED Research Programme Administrator. The COLO-SPEED research programme is building the world’s largest platform for research in prevention and early diagnosis of bowel cancer
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updated and reviewed on a regular basis and filed correctly Provide meeting support where needed, including minute-taking and the management and distribution of supporting documentation Support the
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familiar with spatial analyses, species distribution modelling (SDM), and programming in the R or Python languages to apply these to: Collate and analyse spatial data on MPA boundaries, their protection
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work with colleagues in distributed teams to deliver continuous improvements to data quality and analysis and insight provision • Deliver institutional data analysis, modelling and visualisation
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materials such as ReCaps on University systems as they arise, and the timely distribution of materials to staff and students To support the organization of practical assessments and assist in setting up
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research team, as the COLO-SPEED Research Programme Cordinator. The COLO-SPEED research programme is building the world’s largest platform for research in prevention and early diagnosis of bowel cancer. We
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