106 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions at Leibniz
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) Your tasks: Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization
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, or a comparable qualification in research data management. Strong interest in agricultural, natural, or environmental sciences, as well as in the further development of FAIR research data management
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of composite materials "from the scientific basis to the component". To strengthen our team in the „Mechanische Charakterisierung & Modellierung“- we are looking for a Research Assistant (m/f/d) Your task You
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-fli.de ). We are looking for a Team Assistant (m/f/x) in part time with English language qualifications to join us as soon as possible: Team Assistant (m/f/x) As a Team Assistant (m/f/x), you will support
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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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of composite materials "from the scientific basis to the component". To strengthen our team in the „Smart Composites & Nondestructive Testing“- we are looking for a Research Assistant (m/f/d) Your task Non
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with GFBio Data Center group (exchange and status reports) Your profile Completed university/technical college degree in computer science, bioinformatics, geoinformatics, or comparable qualification
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handling of scientific data sets, ideally from areas such as sensor technology, UAV and image data, agricultural data or environmental monitoring. Knowledge of the implementation of scientific data workflows
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degree (MSc/PhD) in a relevant field (e.g Bioinformatics Informatics, Computational Biology, Biostatistics, Data Sciences preferably with a background in NGS analysis. the applicants should be highly self
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master’s program in Physics, Electrical Engineering, Computer Science, Photonics or a related field Prior knowledge in machine learning, data science, measurement technology, optoelectronics Interest in