1,986 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Newcastle University" positions in Germany
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program in the field of process engineering, environmental engineering, biotechnology, chemistry, or a related field Interest in process simulation Excellent organizational skills Ability to show initiative
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of holiday with us KNOWLEDGE & FURTHER TRAINING: Your further development is important to us – we provide targeted and individual support, e.g. through training and networking opportunities specifically
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Your Job: Chromatography modeling, while crucial for modern bipporcess development, still heavily relies on empirical determination of key model parameters. By combining protein structure
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response and how to leverage this knowledge to develop strategies for sustainable disease resistance in crops. Plants have evolved diverse immune receptors to perceive biotic stresses and trigger defence
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Expertise in software development with Python, database and search engine technologies, machine learning frameworks, semantic web technologies, Docker Desired: expertise in working with scholarly data
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The Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover | Hannover, Niedersachsen | Germany | 8 days ago
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We strive for universality, diversity and
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and deadlines, please visit: http://www.jsmc.uni-jena.de . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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detail: Identification of novel electrolyte components (conductive salts, solvents/co solvents and functional additives) and their optimal compositions for the development of advanced non aqueous aprotic
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chambers (e.g. SAPHIR) and advanced instrumentation Networking & exchange: Participation in (international) conferences, enabling you to build and expand your scientific network Personal development
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devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training methodologies for machine learning systems