149 parallel-and-distributed-computing-"UNIS"-"Humboldt-Stiftung-Foundation" positions at Leibniz in Germany
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enrolled in a Master’s program in plant sciences, crop science, plant breeding, or a related field. You are interested in fieldwork and data collection. Knowledge or experience with data analysis is an asset
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program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration according to TV-L, level 13 (65 %), plus annual special payment
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people and nature. We are looking for an internationally recognized scientist (m/f/d) in the field of computer or natural sciences to develop modern technologies for collection-based research with a focus
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digitisation, archiving and utilization programme. Due to an expected broad public and scientific interest in the HEFA, very good communication skills are essential for networking with national and international
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encourages independence and self-reliance aervice groups and support for stakeholder management and living lab coordination, as well as for data management and computation access to a network of national and
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on the research group/work area: As a biology/chemistry laboratory assistant (m/f/d) you will support the Program Center for Plant Metabolomics and Computational Biochemistry MetaCom established in 2023. We deal
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this knowledge gap and establish improved GHG models accounting for soil invertebrates. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental
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, configuration, monitoring, maintenance and management of hardware and software components Client and user support for UNIX, MacOS & Windows Qualifications are: Completed university degree (BA) in computer
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across five departments—Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations—in an interdisciplinary framework as part of a joint research program
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experience, particularly with experience in the preparation of histological specimens and/or working with animals. Basic computer skills and ability to accurately record data and results. Proficiency in