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, familiarity with next-generation sequencing analysis, a background in T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in
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, Airbus, Thales Alenia Space and Alstom), which steer the centre’s vision and endorse the R&T roadmap. LIST's mission will then be to accelerate the use of sustainable materials for ultra-lightweight
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Postdoc (f/m/d) Computational Ecologist/Species Distribution Modeller / Completed university stud...
of scientific R and Git # Communication skills in English and willingness to work in an interdisciplinary and international team Our offer # A vibrant research community in an open, diverse and international work
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PostDoc with a background in bioinformatics, systems biology, molecular biology, or a related field You should have strong programming skills (preferably in R and Python) and familiarity with Linux
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, Environmental Chemistry or related disciplines A proven experience in process engineering with design, commissioning and optimisation according to R&D's specifications Strong background in water monitoring and
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-cell or spatial transcriptomics, or digital pathology) Strong programming (Python / R) and analytical skills, with proficiency in bioinformatics tools, statistics and machine learning. Experience with
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data using MEFISTO. Nature Methods (2022) Kleshchevnikov, Vitalii, et al. Cell2location maps fine-grained cell types in spatial transcriptomics. Nature Biotechnology (2022) Argelaguet, R., et al. Multi
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biology Expertise in statistical methods and modelling Strong analytical and programming skills (preferably in R and/or python) Excellent communication skills, verbal and written Demonstrated ability
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, Genetics and Statistics. Excellent communication and critical thinking skills are required. Programming skills: Python or Perl or C/C++ for data processing R (for data processing, exploration, and figure
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Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied