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ideas into production-quality code. Processes are lightweight and agile: short goals, rapid iterations, direct contact with instructors and other stakeholders. All of our code is open and freely available
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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computer skills (MS Office, SAP, etc.) enable you to work efficiently Experience in the areas of event management and communication, and an affinity for technical applications and web CMS With your
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Prof. Dr. Maria Lukatskaya has been leading the Electrochemical Energy Systems Laboratory since 2020. The laboratory focuses on designing electrochemical processes by engineering electrolytes and
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(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and
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morphogenetic processes. Job description We are looking for a highly motivated postdoctoral researcher to: Develop and integrate numerical solvers for reaction-diffusion systems Extend the existing C++ codebase
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processes. Job description We are seeking a highly motivated PhD student to further develop this framework by: Implementing numerical solvers for reaction-diffusion systems Extending the biophysical
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manufacturing processes (APIs, excipients, intermediates). Intermediate coding skills in Python. Interest in data-driven research with policy impact. Workplace Workplace We offer Your job with impact: Become part
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of database assembly and maintenance, with tasks spanning data discovery, scraping, cleaning, and processing. It is particularly suited to a student with strong data science skills and an interest in working
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive