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responses, metabolic alterations or regenerative processes. Preference will be given to applications that develop and use alternative animal models or innovative assays. Strong track record in research, with
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research group studies the crucial role of clouds and aerosols in the climate system, aiming to better understand cloud microphysical processes. Project background The primary goal of this student position
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to better understand how cloud microphysical processes drive both precipitation formation and the radiative impact of clouds. This role directly supports these efforts by enhancing our data processing
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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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methods Modeling of large-scale data, in particular omics (genomics, transcriptomics, metabolomics, etc.) and/or imaging data, across biological scales to study molecular and other biological processes
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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