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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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of numerically stable and efficient computational algorithms, their implementation and testing with computer programs, both in simulation as well as real robotic systems. Information about the project and the
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theoretical physics Some computer programming knowledge, e.g., Python, C/C++, Julia, etc. Strong written and verbal communication skills in English Experience in the following areas is beneficial but not
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qualities You have a master's degree in bioinformatics, computer sciences, computational biology, or equivalent experience. You have good statistics knowledge and experience working with high-throughput
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problem-solving are essential. Additional qualifications Experience and courses in one or more subjects are valued: estimation theory, statistical machine learning, optimization, signal processing, system
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a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum Technology Laboratory (QTL) division of the Microtechnology and Nanoscience (MC2
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. Good oral and written proficiency in English. Merits are: Practical experience in X-ray diffraction, spectroscopy, and/or electron microscopy. Advanced data evaluation/numerical analysis and/or computer
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, high-performance plasma model, Amitis (www.amitiscode.com). This project is primarily based on computer simulations and focuses on exploring how the plumes shape the electromagnetic environment
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Computer PhD position in Terahertz Electronics for Life Science Applications PhD position in Quantum Experiments with Levitated Particles PhD position in the field of Chemical Reactivity under Confinement
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information from sequence alone, independent from optical microscopy. This adjacency or neighbor-neighbor information can be used generate images in a computer. Today one person can routinely read millions