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, counted from the date of publication in the Public Employment Exchange. The application must be accompanied by documents proving the conditions set out in point 9 for admission to this competition procedure
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available projects . Please indicate in your cover letter which of the following projects you're interested in: PhD 1: A collisional model for dust aggregates, based on continuum mechanics PhD 2: Dust
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of this response is the cardiac fibroblast, a supportive stromal cell that plays a crucial role in the scar-forming process. While we have made significant progress in understanding the biology that separates
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
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, the right to indicate the next candidate from the ranking list is reserved. For additional information, please contact: Dr Henryk Turski Stipend funded from project: 'Two-sided epitaxy: A Novel Approach to
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signal processing. Experience in programming (Matlab and/or Python and/or C) Analytical mindset Hands-on approach Good interpersonal and interdisciplinary communications skills Proven autonomic attitude in
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referred to in points a), b), c), d), e) and f) of point 16.4. will result in the applicant(s) not being admitted to this tender procedure. 17. Notifications and Preliminary Hearings for Interested Parties
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Assistants will also conduct reliability observations of the point system implementation and observations of treatment fidelity. Finally, Research Assistants will assist with program activities such as setup
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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict