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(especially: optics, opto‐mechanics, opto‐electronics, RF‐electronics) - good knowledge of analog and digital electronics - programming skills (preferably Python), databases, data visualization, and
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integrating RNA and spatial ribonomics data, we aim to gain a deeper understanding of key biological processes and their relevance to major diseases like bacterial resistance, neurodegeneration, and
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an interactive, open-access web platform for visualization and usage of multi-omics datasets Integrate newly generated data with in-house and publicly available datasets to interpret results in a robust biological
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
context Data processing, analysis, interpretation, and visualization of experimental results in collaboration with computational partners Your profile Completed diploma or master’s degree in molecular
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, organization, compression, analysis, and visualization of georeferenced or geometric data on large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
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Initiative, creativity, and the ability to work effectively in a team Excellent English language skills; knowledge of German is welcome Experience with maker spaces, design thinking, prototyping, visualization
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clear data visualizations, reports, and written summaries to communicate results – for scientific publications but also for study participants and patients Collaborate with clinicians, epidemiologists and
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. degree in meteorology, physics, mathematics, or a related field Good knowledge in data handling and machine learning Good knowledge in software development, data processing and visualization with Python
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knowledge of data visualization or graphic design is a plus We offer you an exciting and varied job in a research centre with around 1,000 employees from more than 60 nations a well-connected research campus
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for a person with a strong design sensibility, expressive visual and formal design competence, and a genuine interest in academic research. Central to this role is the connection between technological