19 algorithms-phd-"INSAIT---The-Institute-for-Computer-Science" positions at KTH Royal Institute of Technology in Sweden
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motivated individual to pursue a PhD in the area of reliable conversational domain-specific data exploration and analysis. The prospect PhD student will join a research team in KTH led by Professor Aristides
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and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering. The prospect PhD student will join a research team in KTH led by Professor Aristides Gionis
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learning, optimization algorithms, and interoperability frameworks for optimal energy management across Europe. KTH leads technological landscape analysis, multi-energy investment planning tool development
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spanning energy carriers, digital infrastructure, and business models. Traditional siloed approaches have proven insufficient in addressing the complexity of this transition. This PhD addresses
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develop new communication theory and signal processing algorithms. The goal will be to develop theory, algorithms, and network architectural concepts to deliver ubiquitous network services across the globe
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the mathematical foundations of these fields, e.g., designing innovative algorithms and control strategies, as well as the development of technical solutions to adapt these new methods to applications in the areas
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The PhD student will work for the new project "ACCELERATE - Accelerate Transition to and Scale-Up of bio-CO₂ Utilization" that is funded by the Stiftelsen för Strategisk Forskning SSF. The project is a
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We are seeking a motivated PhD student in computational materials physics, particularly AI-driven studies of nanomagnetism. The PhD student will work within an active research group in materials theory
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degree. This eligibility requirement must be met no later than the time the employment decision is made. PhD in Railway Engineering, Civil Engineering, Geotechnical Engineering, or a closely related field
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science PhD students will work on robot learning