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Field
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• Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer Science, Geoscience, Physics, Data Science, or comparable subjects • Experience in
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Experience in processing remote-sensing information and machine learning is an asset Capacity for interdisciplinary teamwork and excellent communication and presentation skills Ability to communicate in
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ability to integrate into an international and interdisciplinary research environment Joy and expertise in chemical engineering Laboratory experience is required Experience with catalyst synthesis and
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join our vibrant, ambitious, and international team. The successful applicant will work on laser-driven plasma acceleration experiments at DESY, with the role focusing on the development of key
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on life events and romantic relationship dynamics. The assessment methods include longitudinal experience sampling studies. Another research focus of the division is the investigation of romantic
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conduct multifactorial incubation experiments with sediment cores to assess the role of temperature, as well as oxygen and nutrient concentrations as drivers of N2 O cycling within upper sediments and at
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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optimization and sensitivity experiments for each portfolio design problem to explore the outcomes for correlation and causation between the metrics, groups, and network changes, and establish Pareto optimal
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university degree in economics (Master's degree or equivalent) with a focus on finance and/or accounting as well as related topics (e.g. tax, corporate governance) Relevant practical experience Above-average