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We are seeking a collaborative and self-motivated computational post-doctoral fellow to work on cancer cachexia in a vibrant and highly collegiate environment. The candidate will be expected to make
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will hold experience with PCB design, electronic prototyping, and hardware testing, as well as with developing data acquisition systems and hardware-software interfaces. Application processs As part of
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will involve the creation of an internationally leading research program. The role will be based full time at UCL but will involve extensive interactions with scientists at other SGC sites, in
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scheme (CARE) Cycle to work scheme and season ticket loan On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical
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Citizenship Education dataset and the ESS data) In addition, you will have excellent skills in the creation of datasets and the processing of data using SPSS or other statistical software (i.e. preparing
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related field. You have experience working with time-use surveys and a solid understanding of quantitative research methods. You are comfortable working with large datasets and using statistical software
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in screening informatics, biological data analysis, and drug discovery workflows to support the development and delivery of screening and pharmacology programmes within the ARUK UCL Drug Discovery
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pipelines for genomic data analysis, and of programming languages such as R, Python, or Bash script is essential, as is experience of working with High Performance Computing. Time management skills
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. The appointee will plan and carry out a program of high-quality original research, disseminate this research through scholarly presentations and publications, and engage in the intellectual life and activities
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About us UCL’s Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked