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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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serve as an important model for addressing evolutionary questions that could not be studied previously. Moreover, the potential of this alga has also been recognized by the German Botanical and
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serve as an important model for addressing evolutionary questions that could not be studied previously. Moreover, the potential of this alga has also been recognized by the German Botanical and
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established AGATE Centre for Algorithmic Game Theory in Socioeconomics. Informal inquiries are welcome and may be sent to loebl@kam.mff.cuni.cz . Where to apply E-mail positions@kam.mff.cuni.cz Requirements
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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | 7 days ago
and embedded SW (PCB Layout, C/C++) Creation of algorithms for data evaluation and control – deployment of AI tools What do we expect? University degree in a technical field Also open to graduated
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are looking for strong candidates who would complement and/or strengthen existing research areas in our department (which currently includes discrete mathematics, optimization, graph theory, algorithms
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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | 12 days ago
& development activities Participation in projects for the development and application of new IoT technologies and monitoring systems Design of HW and embedded SW (PCB Layout, C/C++) Creation of algorithms
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for accurate and efficient analysis. Possible Research Themes We seek motivated PhD candidates to advance computational mass spectrometry in one or more of the following directions: Algorithm Development Design
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., working with digital signatures, hashing algorithms, or timestamps. Is knowledgeable in agile development and not afraid of creating documentation or presenting results. Has strong communication skills
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vision systems (both hardware and software aspects), • development of machine vision algorithms, • support in leading a research team, • participation in teaching activities. Work Location(s) Number