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Engineering offers a position as Research Associate (m/f/x) Development and application of wire-mesh sensors for thermohydraulic test facilities (subject to personal qualification employees are remunerated
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of the partnerships and to the development of new cross-disciplinary connections between the PIs, doctoral candidates and postdocs from KIT and Heidelberg University. Application Find open positions here: Open
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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly
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Brandenburgische Technische Universität Cottbus | Senftenberg, Brandenburg | Germany | about 2 months ago
Cottbus–Senftenberg. The institute combines basic research on socially relevant topics in life sciences with the development of innovative processes and practical applications for sustainable added value
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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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tabular form Please find all details on this site: https://hpi.de/en/research/doctorate-at-hpi/application-for-a-doctorate/ . Language requirements Even though no specific language certificate is required
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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial
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Infrastructure? No Offer Description Area of research: Executive posts Job description: Your Job: Strategic development of the research field on material availability in global energy system transformations
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done within the PUNCH4NFDI consortium.While the main focus concerns the adaption and development of the software used to process and distribute the data produced by on-site experiments, the applicant
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relevant. The steps in the development of surrogate models are building data-driven models from medical imaging, extending them with physics-based approaches, and adapting existing physics-integrated neural