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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
of novel computational approaches at the intersection of semiempirical quantum chemistry, machine learning potentials, and implicit solvation models. Requirements Experience in computational chemistry
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/communications, machine learning/vision, intelligent transportation systems, intelligent sensing/localization, or signal processing. In line with our Athena SWAN ambitions we especially encourage women to apply
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for Transportation (VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot
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work and adherence to norms, and in the organisation of local religious life. Through this analytical framework, the project aims to identify a distinct East Central European model of parish politics, in
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coordination with the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment
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conducted in accordance with Directive 2010/63/EU and S.I. No. 543 of 2012. The role requires excellent experimental, analytical, organisational and communication skills and the ability to work both
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2010/63/EU and S.I. No. 543 of 2012. The role requires excellent organisational, analytical and communication skills, along with the ability to work both independently and collaboratively within a
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the identification of novel synthesis protocols of nanocrystals. The synthesized nanocrystals will be characterized with a broad set of analytical tools and eventually integrated into devices such as light-emitting
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to have experience in one or more of the following areas, such as: wireless networks/communications, machine learning/vision, intelligent transportation systems, intelligent sensing/localization, or signal
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth