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Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). TUD Dresden University of Technology embodies a university culture that is
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
of the large spectrophotometric data sets including uncertainty quantification. Combine the differently spatially and temporally sampled data sets to obtain a 4 dimensional view of organic matter products in
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- Practical experience in working with RNA (RNA extraction, RT-PCR, RNA sequencing) - Knowledge in programming languages like R or Python for data manipulation and analysis - Experience in quantifying plant
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master’s degree (or equivalent) in neurosciences, biochemistry, genetics, data science or related disciplines English (at least C1 level) Willingness to participate in prolonged research stays (secondments
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are predominately held in English. Full-time / part-time part-time (study alongside work) full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Additional information on beginning
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of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics
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experience in one or more of the following areas: Electron microscopy (environmental TEM and SEM) Large data image treatment Corrosion characterization Local electrochemistry (e.g. SECM and SKPFM) Additive
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
DNA thermodynamic database, coarse-grained simulations of DNA motifs, and existing experimental data to establish an AI model that is able to guide the construction of desired secondary structures
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Experience and interest in computer programming Pronounced organizational and communication skills Self-organized and independent work style Motivation to cooperate in interdisciplinary teams Very good written