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) - Knowledge in programming languages like R or Python for data manipulation and analysis - Experience in quantifying plant metabolites with LC-MS - High level of self-sufficiency - Reliable and conscientious
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results in the context of the latest scientific literature to address key R&D questions Collaborate closely with interdisciplinary teams at the research center as well as national and international partners
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scientific literature to address key R&D questions Collaborate closely with interdisciplinary teams at the research center as well as national and international partners from academia and industry Present your
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, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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experience in remote sensing and programming is a plus (e.g., using QGIS or R) Good communication skills Ability to work in a team Your tasks You will conduct research on the use of remote sensing data
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of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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other relevant fields. You have programming experience in Python and/or R (e.g. scikit-learn, PyTorch, TensorFlow). You have knowledge of omics technologies, ideally mass spectrometry and chemometrics