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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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Support in further expanding the activities surrounding organ-on-chip models For further information, please contact: Prof. Paul Wilmes / E-mail: Telephone: (+352) 46 66 44 6188 Your profile A Bachelor or
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jointly supervised by Prof. Dr. Jun Pang and Dr. Alfredo Capozucca. Responsibilities: Conduct research in the field of formal verification with AI agents Write a doctoral dissertation in computer
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live in. Your role The successful candidate will join the Applied Crypto Group led by Prof. Jean-Sebastien Coron. The candidate will contribute to projects in cryptography. He will perform the following
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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(morphological patterns), based on the experts’ knowledge. Then, tools like Procrustes analysis, linear dimensionality reduction (PCA) and standard clustering algorithms are employed. A first objective of our
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, preparation of solutions etc.) For further information, please contact Prof Anne Grünewald (email address: ). Your profile Master's degree in neuroscience, molecular biology, biochemistry, or another life
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well as to engage in outreach activities. Contact: Prof. Dr. Giovanni Peccati, Head of DMATH: Your profile The successful candidate will have made important contributions to the field and will have a track record or
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contact Prof. Pedro Cardoso-Leite at Your profile Academic background and experience: A Master's degree in one of the following domains: Computer Science (with a focus on AI), Data Science, or related
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, as well as with national and international partners will be supported. For further information, please contact Prof. Heuschling - Your profile The ideal candidate is an experienced teacher and