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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open
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you bring to the table You are a student of industrial engineering, mechanical engineering or a related degree programme You are characterised by an independent way of working and enjoy practical
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doctoral degree in physics or computer science,a strong background in algorithm development for high-performance computing, including profiling, monitoring and quality assessment,good knowledge in track
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available in the further tabs (e.g. “Application requirements”). Objective Extension of deadline to 4th July 2024 The overall objective of the programme is to provide Myanmar’s next generation with education
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space: methods of digital humanities, digital hermeneutics, geographic information science, geocultural computing, geodata analysis, spatial humanities, environmental humanities, geographic discourse
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computer science, mathematics or an equivalent with above-average performance You have very good knowledge in one of the following areas: Programming skills in Python, C++ or CUDA Deep learning frameworks
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The Planetary Sciences and Remote Sensing research group at the Institute of Geological Sciences at the FU Berlin participates in various experiments in space missions of ESA, NASA and JAXA. In our
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) You will collaborate closely with domain scientists to ensure that the developed tools and models align with real-world scientific workflows in plant sciences and chemistry, and demonstrate
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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CSP hybridization. Concentrating solar technology (CSP) is an environmentally and climate-friendly method of power generation, particularly relevant in regions with strong direct sunlight. A key