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Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine learning, and control is essential
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assignments Your tasks will be to carry out research using advanced theoretical and computational methods within quantum mechanics and statistical physics with the aim to study novel materials synthesized
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doctoral candidate will investigate new strategies to control the electronic properties of organic semiconductors through innovative doping mechanisms. The work will combine tailored molecular and materials
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Delayed Systems - Adaptive Queuing Qualifications To be qualified for the position, you must have a MSc degree in Electrical or Mechanical Engineering or Computer Science or Agricultural engineering or
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Electrical or Mechanical Engineering or Computer Science or Agricultural engineering or related subject. Perfect scientific skills with excellence in real life experimentation, as well as very good
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The doctoral candidate will investigate new strategies to control the electronic properties of organic semiconductors through innovative doping mechanisms. The work will combine tailored molecular and
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rare earth elements, as well as synthesis and characterization of new magnetic materials. The work is supervised by Professor Martin Sahlberg within the Inorganic Chemistry research program at
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requirements apply to this position: A Master’s degree (MSc) in mechanical engineering, thermal engineering, or a related field with a strong focus on fluid dynamics, energy systems, heat transfer processes
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, suggesting convergence in evolution of this key trait among major eukaryote lineages. We invite applications for a four-year PhD position as part of the project on the mechanism of inheritance in
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Environmental Physics, Soil Mechanics and Soil Management, and the Biogeochemistry of Forest Soils. We are responsible for important research infrastructure in the form of soil chemistry and soil physics