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models. Through the use of decentralized edge computing, cloud-based analytics, and existing seismic networks, the project aims to improve rapid decision-making and resilience assessment during and after
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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Your Job: In this Master’s thesis, you will model bridge-type PCM devices in the sub-nanosecond regime. The aim is to explain experimentally observed dynamical behavior based on continuum simulation
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position in regional ocean climate modeling in the Department of Physical Oceanography for three years and a percentage of 75% (30h/week), subject to the funding of the project. Remuneration is paid in
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: Approximately 2,000 EUR/month for three years Website: IMPRS-ESM Application Contact: office.imprs at mpimet.mpg.de The International Max Planck Research School on Earth System Modelling (IMPRS-ESM) invites
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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proposals Your Profile: To be part of our dynamic team, you should have: A Master`s degree in Physics, Computer Science, Environmental Science, or Engineering, preferred with a subsequent PhD A curious and
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Join our team as a Early-Career PostDoc (m/f/d) in the research area of AI‑based modelling full-time (39.2 hr/week), fixed term for two years. Leibniz-IWT stands for research in the field of new
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research and publications in one or more of the following areas: Item response modelling Modelling of process data (e.g., response times) for competence tests Application of machine learning methods in
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the training of state-space models Collaborate closely with our internal partners at PGI-14 (Neuromorphic Hardware Nodes) and international academic and industry partners Publish research articles and regular