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, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life-science
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Tenure Track Assistant Professors in Theory and Freestanding Oxide Membranes for Energy Applications
, and development of new and improved materials and devices for sustainable energy conversion and storage, more specifically for applications in the areas of batteries, electrolysis and Power2X, fuel
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) group at Aalborg University. The position is for two years and combines theoretical research, algorithm development, simulations, embedded implementation, laboratory experimentation, and industrial
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one day a week on campus. Job description The computational biologist will be expected to: Lead the development of acoustic detection and classification algorithms for marine mammals. Evaluate algorithm
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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in e.g. qubit measurements and quantum error correction algorithms. The core responsibilities include modeling, simulating and designing components and chips for photonic and neutral atom quantum
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at a high-quality level contributing to the key aims and obligations of the IPA project. See the project description here . use the IPA project as a basis for developing a broader research agenda within
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
: * Development of advanced signal processing methodologies for transient electromagnetic data * Development of transient electromagnetic forward modelling and inversion algorithms. * Development of processing
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contribute to aligning the course portfolio with current developments in the field and in industry. A key part of your work will be supervision of student projects, where you guide students from idea
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closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership