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of infectious disease. Our laboratory also offers a wide range of further methods and technologies (organoids, organ-on-chip, diverse sequencing approaches, confocal imaging etc.). Thus, students with an open
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-vivo method for the quantification of reactant gradients, mass transfer characteristics, and biomass growth in productive biofilms More details: https://www.science.hr/jobs/221197/development-of-an-mri
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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three lab courses. These method-based courses last up to five days and constitute an important element of the study programme, with students receiving intensive training in the latest methods and
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by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion
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, and training methods - across multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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required to take part in at least three lab courses. These method-based courses last for up to five days and constitute an important element of the study programme, with students receiving intensive training
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: As a PhD candidate you will Use state-of-the-art methods to conduct gas- and aerosol-phase measurements, including
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the Control and Cyber-Physical Systems Group at TU Dortmund, focuses on encrypted control for discrete-event systems (DES). Encrypted control combines methods from control and cryptography to enable a new class