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in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
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developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some kind of machine learning algorithm, provides more
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Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking an ambitious candidate to develop Machine Learning models and frameworks for time series
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research strand 3 «Addressing key methodological challenges». The positions are tied to CREATE’s strand 3. Strand 3 aims to develop novel methods and statistical software that are tailor-made to the research
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designing and improving general algorithms for algebraic cryptanalysis, or developing concrete attacks against proposed ciphers. This PhD position is an opportunity to explore and shape your own research
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project NICE is a center for research-driven innovation (i.e., an SFI ) in which NTNU, the University of Oslo, and key industry players work together towards developing the knowledge and technology required
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Intelligence (AI) were launched in the Fall of 2025. These centres will foster interdisciplinary collaboration among researchers to address both scientific and societal challenges, develop new technologies
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of Artificial Intelligence (AI), and therefore a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models and
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responsibilities (dependent on experience level of applicant) Develop and improve multi-temporal InSAR processing algorithms (e.g., time series analysis, phase unwrapping, noise mitigation, filtering, atmospheric
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a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical