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Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team. Collaborating within an interdisciplinary team, including potential teaching or
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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is an advantage; a publication record that is competitive for the candidate’s career stage, along with the ability to present findings clearly through scientific writing and visualizations; and the
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: planning and execution of pilot scale HTL campaigns carrying out wet-oxidation experiments in pilot scale supporting full scale HTL experimental campaigns with sampling, data analysis, process evaluation and
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studies, including experimental planning, data acquisition in collaboration with imaging colleagues, quantitative analysis and integration with behavioural findings. Perform and develop molecular and tissue
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, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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; biochemistry/signal transduction; Orbitrap/timsTOF instrumentation; Python/R analysis Desirable: biomarker/clinical sample experience; interest in LRRK2 biology and neurodegeneration Contact Dario Alessi
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. Collect and process environmental and insect samples for DNA sequencing. Analyse microbial communities associated with freshwater habi-tats and pollinators. Direct and support to the analysis of high
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analysis of consumer-citizen studies related to fermented plant-based food prototypes. Therefore, the candidate will contribute to the development of online experimental consumer and sensory studies
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and methodological analysis of how landscape change influenced the historical development of environmental anthropology in the Kalahari and should be prepared to work in a collaborative research team