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Reference : UMR5558-SANCHA-003
Workplace : VILLEURBANNE
Date of publication : Tuesday, February 11, 2020
Type of Contract : FTC Scientist
Contract Period : 6 months
Expected date of employment : 1 April 2020
Proportion of work : Full time
Remuneration : 2643€ raw per month
Desired level of education : PhD
Experience required : Indifferent
Develop a new robust and easily accessible tool for the assessment of the bioaccumulation risk of active substances and/or metabolites in food webs by calculating bioconcentration factors (BCF), bioaccumulation factors (BAF) or biomagnification factors (BMF) from experimental toxicokinetic data available in the marketing authorization dossiers of substances.
Ratier et al. 2019 (https://doi.org/10.1016/j.ecoenv.2019.04.080) have recently developed a new mathematical toxicokinetic model to calculate BCF/BMF/BAF based on experimental data from standard guidelines (e.g., OECD 305, 2012). The objective of this project is to implement this model via a Shiny interface (https://shiny.rstudio.com/) and to make it accessible from the MOSAIC platform (https://mosaic.univ-lyon1.fr/) in order to have a new robust and easily accessible tool for the calculation of BCF/BMF/BAF and thus to assess the risk of bioaccumulation of active substances and/or metabolites in food webs. The intended tool will be:
- Freely accessible on the Internet to calculate a BCF/BMF/BAF indicator;
- An open source model, developed in R language;
- Resulting from scientific work;
- Integrated in the broader framework of the use of TKTD models in risk assessment;
- Applicable for all types of organisms (multi-purpose model) and all types of active substances;
- Usable for the calculation of BCF/BMF/BAF.
The corresponding tasks will be:
- Collection of test data sets (calibration and validation of models);
- Automation of the R script for model inference;
- Creation of the Shiny application: server part (calculations) and UI part (interface);
- Tests of the interface and its functionalities;
- Integration to the MOSAIC platform.
Skills in modeling and statistical inference (especially Bayesian inference), as well as in R programming are strongly required. Skills in predictive ecotoxicology will be a plus. A thorough knowledge of written and spoken English is essential. (level B2 minimum).
The recruited person will work in the "Modelling and Predictive Ecotoxicology" team of the Biometrics - Evolutionary Biology Laboratory, UMR 5558 of the CNRS and Claude Bernard Lyon I University, whose research is organized around two unifying themes: "Biometrics" and "Evolutionary Biology". This specificity presided over the creation of the laboratory and gives it its originality. The scientific results of the LBBE are born in the synergy of methodological points of view, the heart of which is both mathematical and computer modelling, and evolutionary perspectives which organize research independently of the level of biological organization. See https://lbbe.univ-lyon1.fr/?lang=en for details.
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