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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 12 days ago
, which can be used directly on-site as a feed source. This reduces the reliance on commercial aquafeeds and supports the enhancement of animal immune systems. The SwitchFloc project addresses current BFT
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 14 days ago
, which can be used directly on-site as a feed source. This reduces the reliance on commercial aquafeeds and supports the enhancement of animal immune systems. The SwitchFloc project addresses current BFT
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Italian Languages Participants can choose to write their doctoral dissertation in French, German or Italian. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application
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learning methods for optimization is an advantage Background in fuel cells, electrolysis, or electrochemistry is advantageous Independent and responsible working style with openness to new topics Strong team
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Background in fuel cells, electrolysis, or electrochemistry is advantageous Independent and responsible working style with openness to new topics Strong team spirit and motivation to work in an
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, economic, secure and socially just energy supply system based on renewable energy sources. We contribute to this through our main research areas of energy provision, energy distribution, energy storage and
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Collaborating closely with experimental partners to validate methods and integrate tools into existing workflows Disseminating findings through scientific publications, international conferences, and open-source
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 23 days ago
this PhD, we propose to apply statistical computing combined with machine learning (ML) to the spectrophotometric data to derive high-resolution information on CDOM absorption and its origin. This will be
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | 23 days ago
relevant information from ML models to understand the relationship between in- and output Experience in harmonizing and compiling real-world datasets from diverse sources Experience using Python or R and
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learning (ML) methods—including surrogate modelling, feature extraction, and inverse design algorithms Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor