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Field
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research fellows. The research fellow needs to integrate this perspective into study design, creation of research methodologies, data collection, processing and analysis of data as well as the writing
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, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related engineering projects will be an advantage. Key Competencies Ability to build and
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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
, structural biology, computational biology or a related field, and experience in computational structural biology, protein structure modelling, AlphaFold/multimer-based analyses, statistics, data visualization
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, recovery and separation of supernatant, and drying process. Support AI‑enabled data analysis, including collaboration on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing
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chromatographs, potentiostats, and other auxiliary equipment required for CO2 electrolysis experiments. Strong data processing and analysis skills, including fluency in Python coding, and some experience using
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synthetic biology hosts. The proposal must include a progress plan. Contact For further information about the position, please contact Group Leader Hans Christopher Bernstein: email: [email protected]
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staining and confocal imaging, RNA-seq. Data analysis, interpretation of experimental outcomes, and preparation of manuscripts for publication Supervise and train junior researchers and contribute
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design optimisation, and performance evaluation. Perform advanced materials characterisation and microstructural analysis, including but not limited to: i. X-ray Fluorescence (XRF) ii. X-ray Diffraction
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high standard. Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. Skilled in data analysis and interpretation; experience with genomic analysis
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. Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation