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Description of the offer : We invite applications for 1–2 fully funded 4-year PhD positions in the Magnetism and Spin-Orbitronics Group at the School of Physical and Mathematical Sciences, Nanyang
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Centre for Quantum Mathematics (QM) at Department of Mathematics and Computer Science (IMADA), University of Southern Denmark (SDU) invites applications for several 3-year PhD positions in quantum
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; complete and defend a PhD thesis within the appointment duration of four years. What we ask of you Your experience and profile: You have a masters in mathematics, or a joint masters including mathematics
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of precision fermentation or cell culture - Affinity towards technical tasks and bioprocess control - Advantageous: Experience in mathematic modeling, programming, CAD, microfluidic or bioreactor systems
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subject relevant to the proposed PhD project (such as mathematics or statistics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work
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CoSi project (Co-Evolution and Coordinated Simulation of the Swiss Energy System and Swiss Society), we are seeking a motivated and qualified PhD candidate to develop neighbourhood- and district-scale
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling Job No.: 683222 Location: Clayton campus Employment Type: Full-time Duration: 3.5 to 4-year fixed
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Trinity College Dublin, School of Mathematics Position ID: 1697 -PHD [#26720] Position Title: Position Type: Academic admissions Position Location: Dublin, Dublin D02 PN40, Ireland [map ] Subject
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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including