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-IRMS, and isotopic approaches to quantify nitrogenase activity Bioinformatics ->Omics data analysis, metabolic networks Scientific and technical skills required of the candidate The candidate must have
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, bioinformatics, clinical research, and environmental science, supported by collaborations among academia, industry, and public sector partners. For further details about the overall research project, please
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training in the frame of ELIXIR Luxembourg For further information about this position, please contact: Your profile Strong experience in data analysis environments commonly used in bioinformatics and
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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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sterile techniques and basic microscopy. Experience with molecular biology techniques (e.g., DNA extraction, PCR, bioinformatics) or flow cytometry is an advantage. The candidate should be proactive and
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scientific departments, IRISA is a laboratory of excellence whose scientific priorities are bioinformatics, system security, new software architectures, virtual reality, big data analysis, and artificial
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. The results will be validated using nanopore-specific bioinformatics tools and mass spectrometry. This project will provide a detailed understanding of the role of m6A and other modifications in the regulation
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(epifluorescence, etc.) Preferred Skills: • Interest in parasitology • Biochemistry (recombinant protein expression, immunoprecipitations, proteomics, etc.) • Bioinformatics (R, etc.) The candidate must have a PhD
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: • Master's degree (MSc) or engineering diploma in computer science, applied mathematics, bioinformatics, biomedical imaging, or related fields. • Basic knowledge of cell or developmental biology is a plus but
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of bioinformatics, biology, or related fields - M.Sc. is required. Key qualifications and qualities include: Experience in bioinformatics/computational biology; experience in protein structure prediction is