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proteomics Strong skills in quantitative proteomics data analysis using R, as well as knowledge in bioinformatics Solid understanding of mitochondrial functions and cellular metabolism Experience in cell
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. The position might also involve teaching assistance, seminars and presentations. You will be working in the field of robotic autonomy and all activities will be linked with National, European and worldwide R&D
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processes with relevance for irrigation and drainage Have knowledge in programming in R and Python for statistical analyses and modelling. This includes experience in applying these skills in projects Have
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analysis. Experience with 5mc/5hmc dot blot assays for analysis of human DNA methylation levels. Expertise in Bash, Python, and R programming. Experience in phasing and resolving X-inactivation genomic data
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. Strong programming skills in R and/or Python are essential, as well as prior experience in data analysis, statistics, or machine learning. The project involves large-scale single-cell and spatial
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analysis and data handling (e.g., R or other relevant platforms) Experience conducting ecological fieldwork, preferably in remote or tropical environments Practical experience in laboratory techniques
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of scientific publications. Documented experience in conducting register studies and managing large datasets. Good knowledge of Stata/R. Previous experience of working in multidisciplinary research groups. Basis
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conducting behavioural tests on animals Demonstrated experience in behavioural coding Demonstrated experience in R Experience with traveling and spending time abroad Ability and willingness to teach and
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of innovation and/or industrial policy in Africa. - Experience with Research and Development (R&D) and/or innovation data collection initiatives within the African Union. - Experience with STI capacity building
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substantial experience in metabolomics data analysis. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or