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processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand
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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer
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practical experience in at least one programming language (preferably Python) Ideally, some practical experience in material characterization methods Structured and analytical thinking as well as a systematic
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have detailed expertise in analytical and spectroscopic tools, namely NMR, XRD, IR, UV-Vis, MS and very good language skills in English and/or German. Please send your application (motivation letter, CV
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well as analytical methods are an advantage Willingness to handle unsealed radioactive materials within a radiation-controlled laboratory environment Knowledge of handling radioactive materials and radiochemical
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biosynthetic machinery Applying novel GAG analytical technologies to investigate how changes in GAG structure and organisation drive and/or respond to shifting developmental stages. Working Environment: Based
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like PyTorch or TensorFlow Strong analytical and communication skills, creativity, and the ability to work independently while collaborating in a team-oriented environment Our Offer: We work on the very
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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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biology experience with laboratory-based research (e.g., cell culturing, molecular techniques, bioinformatics, flow cytometry) ability to work independently and as part of a research team strong analytical
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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