153 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "IMEC" positions at Leibniz
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collaboration with cooperating institutions and enrolment in a local PhD program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration
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articles (short reports, economic policy articles or academic papers). Your Profile Enrolled in a bachelor's degree program in economics or a related subject; or enrolled in a master's degree program with a
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, experience with Linux shell-based bioinformatics tools, and basic programming skills (e.g. Python) are essential. Experience with metabolome analyses and natural product biosyntheses will be a plus. The DSMZ
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and assess their applicability in coastal environments. The position will be based in the ZMT’s program area (PA2) Impacts of Global Change and Adaptation and will actively contribute to its objectives
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assess consequences of changes along tropical coasts for the Earth system. The strategic extension is integrated into the interdisciplinary ZMT Programme Areas . It will enhance ZMT’s modelling
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programme Generous support for your pension provision as a direct insurance policy Promotion of your skills through further training measures Contact For further information concerning the tasks please
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a PhD Candidate / Software Developer for Aerospace Knowledge Base (m/f/d
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, SimBA) Experience in animal experimentation (FELASA or equivalent is a requirement) Expertise in molecular biological and advanced imaging (confocal and fluorescence) techniques and analysis programs
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Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research program. The doctoral thesis will be based in the working groups Organic Trace Substances (Organic Trace
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets