798 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" uni jobs in Germany
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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expertise in genetic-epidemiological data analysis in UKBiobank and/or AllofUs. Additionally, you have a PhD/doctorate in a life-science related discipline (e.g., life-science informatics, molecular medicine
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visualization in Python Numerical modeling and programing for model optimization & machine-learning What you contribute Studying Computational Engineering, Mechanical Engineering, Simulation Sciences, or a
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Bachelor-/ Master Thesis: »Investigation of effects of surface metrology data on optical simulation«
supervision and collaboration in a dedicated team A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job in the best possible way We
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-the-art machine park equipped with edge cloud systems and 5G infrastructure Flexible working to combine study and job in the best possible way We value and promote the diversity of our employees' skills
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Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research environment? Then let’s
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Preparation and documentation of results What you contribute You are studying mechanical engineering, industrial engineering, computer science or a comparable subject You have good knowledge of Python You have
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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational
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own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools for the analysis