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We are looking for a highly motivated PhD student to join the Nucleic Acid Immunity Lab at the VIB-UGent Center for Inflammation Research. Lab website: https://www.irc.ugent.be/groups/maelfait-lab
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trained in the theoretical modelling of the chiral surfaces. You are a motivated researcher with a Master in physics, chemistry, nanotechnology, or related fields. You have knowledge of scanning tunneling
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behaves. Previous robot controllers were programmed merely for walking on rigid ground such as laboratory floor. With an advanced geomechanics model describing the properties of natural ground, the project
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monitoring will also be integrated into this PhD. Thermal prediction models are currently implemented on a Field Programmable Gate Array (FPGA), while the thermal PI controller (which will be further developed
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This interdisciplinary project uses advanced stem cell-based embryo models, called blastoids (developed in the laboratory of Prof. Vincent Pasque), which mimic the early human blastocyst stage. Your work will focus
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captures a variety of soil conditions coupled to a modelling approach. In that context, the PhD will focus on the following issues: assessing the impacts of soil conditions and stand type (unconverted
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to understand the interplay between human populations and forest dynamics, before and after European contact. You will also become part of our Crossroads Research Centre, a group of PhDs and postdoc working
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Marie Curie Grant Agreement Number 101217515 Is the Job related to staff position within a Research Infrastructure? No Offer Description The first position is aimed at a prospective PhD candidate who will
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, archaeological, and ecological disciplines and perspectives through an interdisciplinary consortium including 6 PhD students, we want to understand the interplay between human populations and forest dynamics
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renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks