12 Quantitative Cell Biology/Biochemistry research jobs at Universitat de Barcelona in Spain
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will assist with spatial analysis through the use of GIS. The ideal applicant will have a Degree in Archaeology, a MSc in modelling or quantitative analysis and a related PhD. The ideal applicant will
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wide variety of sources (hospital records; police records; face-to-face survey interviews) with quantitative methods drawn from economics, WomEmpower proposes to estimate the causal impact of (1
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interested in understanding the origin of new organs during the radiation of winged insects. With this aim, the Almudi lab is using single cell –omics approaches to address how morphological novelties appeared
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Primary culture of human and mouse adipocytes and pre-adipocytes Experience in spatial transcriptomics, with strong emphasis on adipose tissue. Specific Requirements PhD in Biochemistry, Molecular Biology
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analysis of information - for example, making the initial steps in systematic reviews (as appropriate, following the Campbell, PRISMA and Cochrane criteria) — as well as inferential quantitative analysis
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collaboration with other team members. Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in chemistry, biochemistry, pharmacy or similar Specific Requirements
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journals Expertise in quantitative research methods and computer programming Motivation and initiative to work both independently and as part of an interdisciplinary team Excellent verbal and written
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/Qualifications - Advanced knowledge in the field of political science will be valued. - Strong analytical skills and experience with quantitative data analysis tools (e.g., SPSS, R, Excel). - Excellent written and
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related field. A track record of relevant research publications in internationally recognised journals Knowledge of post-growth research topics Expertise in quantitative methods, particularly methods
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programming Expertise in additional quantitative research methods (e.g. time-use analysis, system dynamics, machine learning, econometrics, advanced statistics, big data, material flows analysis, etc