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identification for search; g) Any other elements that the candidate considers relevant. 15.3. Applications must be formalized in the online application submission system, available on the FMUP web page: https
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electromagnetic actuation systems, advanced drive technologies, and integrated cyber-physical solutions. Deliver and maintain assigned components of the educational program, integrating innovative methods such as
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the project “Modeling of optically excited states in periodic and molecular systems with the self-consistent Green's function methods” financed by the NAWA Returns grant awarded by Polish National Agency
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factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and
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world. We look forward to receiving your application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is
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. Further information about the PhD program at KMD can be found here . The department will host an online orientation meeting for the position 8 January 2025 at 12.00 hrs (CET). Participate at: https
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the processing of visual and sensor data in distributed systems, and applying artificial intelligence methods in the analysis of image data. Experience in applying VR/AR/XR technologies in visual systems and
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modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial Intelligence (AI). For more info, please visit link . LUCI is well-established, with an extensive group
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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interactions among neighbouring agents and their environments. The research will exploit an interdisciplinary approach that combines control theory, nonlinear dynamical systems, robotics, and formal methods