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Field
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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Description Probing neural representations of speech, in parallel with experimental phonetic analysis of the same data (collected in the field); placing the results in the context of linguistic typology. In
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Description The SoftCPS Laboratory (https://www.isep.ipp.pt/softcps/ ), a research unit of the School of Engineering of the Polytechnic Institute of Porto (ISEP) and part of the INESC TEC HumanISE Center, is
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks: Developing optimization algorithms for massively parallel hardware architectures such as AI
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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to neuronal dysfunction and degeneration in HD. In parallel, epitranscriptomic mechanisms, particularly N6-methyladenosine (m6A) RNA methylation, have emerged as key regulators of neuronal homeostasis, but
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parallel, it produces new, high-resolution computer models of the warm Last Interglacial period. Finally, PAST creates new knowledge by synthesising these two approaches through advanced statistics. This PhD
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to their limits, and explore how they can be used to optimize the manufacturability, efficiency (>99.9%) and LIDT > 1J/cm2 for sub-ps pulses, of the final gratings. In parallel, the fellows will be provided with
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through participatory design sessions with nurses, integrating the computational models (developed by another PhD candidate working in parallel on sound modelling) with user experience requirements, while
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing