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Field
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plasma-modulated plasma accelerators (P-MoPAs). The successful candidates will undertake research into the underlying physics and operation of plasma-modulated plasma accelerators (P-MoPAs), advanced
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understanding in fundamental metallic, ceramic, and hybrid materials science as well as some familiarity with a variety of manufacturing processes. Experience with advanced/additive manufacturing. Experience
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to the online application process should be referred to recruitment@ucc.ie quoting the job-title and project name. Candidates should apply, in confidence, before 12 noon (Irish Local Time) on Thursday 24th July
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of Computer Science & I.T.; Email: k.brown@cs.ucc.ie Applications must be submitted online via the University College Cork vacancy portal https://ore.ucc.ie/ Queries relating to the online application process should be
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to the online application process should be referred to recruitment@ucc.ie quoting the job-title and project name. Candidates should apply, in confidence, before 12 noon (Irish Local Time) on Thursday 24th July
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 14 hours ago
Strong Coupling”), funded by a prestigious Synergy Grant from the European Research Council (ERC), investigates how quantum electrodynamics can be harnessed to control chemical and physical processes
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across modalities. Our long-term objective is to develop a "phenotypic fingerprint" from multimodal imaging data in healthy controls to be used as an early predictor of adverse neurologic events
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modeling software (Datamine software, Leapfrog, Geovia, or equivalent). Experience with mine waste valorization and pilot process design is a strong asset. Proven publication record and project involvement