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Field
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and chemical evolution modelling Experience in galactic dynamics and analysis of numerical simulations Experience in programming in R, Python and/or SQL Experience in development of data analysis
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the analysis of multimodal spatial omics data across multiple projects, collaborating closely with experimental biologists. Main tasks and responsibilities: Develop and implement robust computational pipelines
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cell implantation and in utero electroporation), cell migration studies using time-lapse imaging in brain slices and modeling, whole-tissue clearing, and advanced 3D analysis, the following gross salary
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crops - Establishment and maintenance of crops - Analysis of different physiological parameters - Direct and indirect speciation of Se in different plant parts using various analytical techniques
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epidemiology and managing large databases and statistical analysis with R, Python or similar. Project management (drafting, application, execution). Fluency in English. Specific Requirements Mobility and
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cell lines and primary cells. Technical support in fluorescent microscopy acquisition. Managing Image processing and analysis of live imaging microscopy acquisitions. Basic requirements of the position
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analysis. Methods and algorithms including visualisation and reporting tools. Geotechnical, structural and mechanical characterisation of rock from drilling signals. Calibration and interpretation on rock
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. Illumina, Nanopore,…) sequencing (sample prep and data analysis), base editing, synthetic memory, biocontainment, bioproduction, or microfluidics Competencies & skills: High motivation and proactivity
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experience in the document image analysis field. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and
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to investigate both known and unknown DBPs, using advanced targeted and non-targeted analysis techniques with high-resolution mass spectrometry (Orbitrap), as well as the reactivity of organic matter in effluents