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, and climate projections depends critically on the adequate representation of land-atmosphere (L-A) feedbacks. These feedbacks are the result of a highly complex network of processes and variables
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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., compressors, reaction kettles). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners
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dedicated to developing sustainable polymers and materials via visible-light-driven processes. The core focus of this role is the design and synthesis of novel, recyclable polymeric materials using low energy
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the mechanosensitive processes and the mechanical properties of tissues that drive tumor malignancy and anti‑tumoral immune responses. This multidisciplinary project will combine: Biophysical techniques and image
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clearance check will form part of the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University
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information, technology, and hardware which is subject to European or US export control and sanctions regulations. During the recruitment process, the Agency may request applicants to undergo selection tests. Additionally
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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this project, SPS technology will be implemented, widely used to produce refractory, dense HEAs with a fine and controlled microstructure. This technique is characterized by a high heating rate through the Joule
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criteria: 1. A PhD in Engineering or similar discipline 2. Strong engineering and analytical skills 3. Computer modelling skills (i.e. MATLAB or Python) 4. A comprehensive