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on trust-aware task migration. A strong emphasis will be placed on security guarantees, including secure communication, task integrity, and trust management. The ideal candidate will help develop new runtime
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: Excellent interpersonal and collaborative skills. Excellent time management skills and ability to meet deadlines. Excellent attention to details and asks reasonable questions. Troubleshooting and problem
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. Supervision of research-based student projects (e.g., MSc. theses) Dissemination of research work on peer-reviewed publications and international conferences. Collaboration and management skills. Communication
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(e.g. scikit-learn, PyTorch). Flexibility to adapt to different application fields. Independence and time management. Who we are The Computational Physics and Machine Learning Lab led by prof. Lucantonio
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. Supervision of research-based student projects (e.g., MSc. theses) Dissemination of research work on peer-reviewed publications and international conferences. Collaboration and management skills. Communication
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presentations at international conferences. Expectations of qualifications: PhD in Ecology, Evolutionary Biology, or a related discipline. Demonstrated expertise in ecological fieldwork, particularly in plant or
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-based topology optimisation and de-homogenisation Adaptive meshing algorithms for topology optimization PDE-driven topology optimisation methods Research fund application Collaboration with industrial
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research management, industry co-operation and international co-operation. Documentation of relevant, significant, original research at an international level. Transcript(s) and a full CV. Recruitment