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characterize how pathogenic mycobacteria rewire host-cell metabolism and identify novel drug targets. They will be trained in a variety of powerful, modern analytic techniques including metabolomics
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mass spectrometry-based proteomics or degradomics. Strong analytical skills and the ability to work effectively in a collaborative
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. AI-guided protein design (nice to have): Curiosity about methods such as ProteinMPNN, RFdiffusion, and AlphaFold; prior hands-on use is beneficial but not required. Analytical chemistry: Experience
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, develop strong analytical skills, and collaborate with international researchers in macroecology and climate change biology. The candidate will also contribute to a growing field at the intersection
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(or equivalent) in civil, environmental, or chemical engineering – or alike. Laboratory experience in water treatment and analytical techniques for water quality. Demonstrated Proficiency in quantitative data
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organic chemistry experience Expertise in analytical methods such as HPLC, LC and column chromatography, LC-MS and NMR methods Experience with handing DNA/RNA synthesizer Ability to work in a team
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
for selected electro-organic transformation in detail: Design, validation and verification of online and offline analytical methods Design, synthesis, and characterization of catalytic materials Utilization
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research; (c) A strong foundation in technical, analytical, and research skills, enhancing your career prospects in academia, R&D, and the growing clean energy sector; (d) Opportunities to present your work
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to assess this capacity: documented knowledge in a relevant field of research capacity for analytical and creative thinking initiative independence ability to collaborate The assessment will be based
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: excellent, very good or good university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport planning and/or data analytics Description of the PhD topic