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Field
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part of a team Understanding of dynamical systems, time series models, machine learning, Bayesian statistics, experience in handling environmental and climate data is a merit We offer: This position is
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to achieve the following training objectives for our doctoral candidates: 1) Equip them with core scientific skills and specialized knowledge in designing experiments for demonstrating space technologies and
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 23 days ago
resources or new data collections. An outline of the thesis aims and objectives (the exposé) will be developed within the first six months. PhD students will receive close mentoring on both research and
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objectives for our doctoral candidates: 1) Equip them with core scientific skills and specialized knowledge in designing experiments for demonstrating space technologies and developing space missions; 2
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training objectives for our doctoral candidates: 1) Equip them with core scientific skills and specialized knowledge in designing experiments for demonstrating space technologies and developing space
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on BIPS’s extensive data resources or new data collections. An outline of the thesis aims and objectives (the exposé) will be developed within the first six months. PhD students will receive close mentoring
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. student (m/f/d) The position is part of the externally funded project EXPLORA „Perception of materials, objects and spaces through active EXPLORAtion” and is limited for the duration of three years
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-time (75 %) as a Scientific employee – Ph. D. student (m/f/d) The position is part of the externally funded project EXPLORA „Perception of materials, objects and spaces through active EXPLORAtion” and is
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processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
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excellent degrees and scientific track records in the following research areas: Higgs physics Dark Matter and Axions Gravitational Waves Quantum Gravity Structures, Methods, Advanced Research Technologies