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almost equally abundant in most organisms, highlighting the need to develop and optimize negative ion mode techniques. This project will advance the next generation of proteomics, bridging this fundamental
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, graph theory, satisfiability problems, discrete optimization. Strong interests in chemistry as well as proven competences in programming and ease with formal thinking are a necessity. This PhD project is
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defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and enable charge
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contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL
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-track researcher position in: Enhancement of the PRO performance, particularly via membrane modification, optimization of operational condition and membrane cleaning strategies. This project will utilize
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of the department's modern laboratory-, core- and animal facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from
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of the department's modern laboratory-, core- and animal facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from
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17 PhD positions - Marie Sklodowska-Curie Doctoral Candidates within the ‘FRESCO4NoPain, Frontier Re
. For further details about the overall research project please visit www.fresco4nopain.com Why apply? Being a PhD student in a doctoral network offers numerous benefits designed to enhance your academic and
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on developing and advancing diamond-based quantum sensing technologies, with applications ranging from neural activity detection to nanoscale NMR spectroscopy. This includes designing and optimizing experimental