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or Pharmacy, with experience in Analytical Chemistry, especially high-performance liquid chromatography and advanced oxidation processes. Desirable requirements: Experience in material characterization
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 10 hours ago
Scientific Computing # Active contribution to Open Source Scientific Community codes # Working with application field scientists from various fields and different levels of IT background and their ambitious
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heterogeneous sensor data will be implemented. This will notably involve defining relationship graphs between the different sensors and evaluating the performance benefits of a learning approach that takes
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enjoy access to state-of-the-art infrastructure for biochemistry, molecular imaging, cryoEM/ET and high-performance computing. We are also committed to world-class education, and you will have the
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Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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, proteomics, metabolomics, and computational modeling, fostering high-impact interdisciplinary research. Responsibilities: The successful candidate will work on projects, which will be involved in one or more
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are associated with a number of different critical mineral-bearing mineral systems (e.g. iron oxide apatite (IOA)-iron oxide copper gold (IOCG), porphyry Cu-Mo-Au, Carlin-type Sb-Au, epithermal Au-Ag, carbonate
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, practical experience with Linux/Unix, High Performance Computing, and scientific programming is recommended or the willingness to learn these skills, basic expertise with scientific data analysis, good skills
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system, photonic and quantum components originating from different technologies. This development will pave the way for new generations of high‑performance hybrid systems that address the growing needs
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particular emphasis on deep-field observations. The position provides access to large, high-impact JWST datasets and opportunities to contribute to multiple ongoing programs, as well as to a broader portfolio