119 parallel-processing-bioinformatics positions at Delft University of Technology (TU Delft)
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of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination with high-performance computing (HPC), parallel
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to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
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durability compared to existing PV modules and, in the process, train a group of young engineers in developing more circular PV modules to spark future innovations . In parallel, we aim to implement
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enzyme engineering. The PhD project will involve bioinformatic selection of candidate enzymes, employing a combination of ‘off-the-shelf’ tools based on both sequence and structure. These enzymes will be
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, development of data (pre-)processing pipelines, and machine learning model training to identify relevant biological states of the liver (e.g., healthy, recovering, not healthy). The (soft) sensor development
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processing conditions and the deposited iron properties. The study will include: Development and optimization of the electrode interface Laboratory-scale experiments to investigate redox kinetics and iron
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of Co, Ni, and Mn. Identify and optimize key process parameters for black mass treatment in close collaboration with industry partners. Evaluate the performance of recycled materials in new battery cells
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., Cu, Al, Fe) and for better recovery of Co, Ni, and Mn. Identify and optimize key process parameters for black mass treatment in close collaboration with industry partners. Background Batteries
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12 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems. ME is a dynamic and innovative faculty with high-tech