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3-year doctoral position in bioinformatics: Prediction of bacterial operons dedicated to glycan breakdown in marine Gammaproteobacteria for the discovery of novel CAZyme families (Funded by A*Midex) Aix-Marseille Université, France

3-year doctoral position in bioinformatics: Prediction of bacterial operons dedicated to glycan breakdown in marine Gammaproteobacteria for the discovery of novel CAZyme families (Funded by A*Midex) Aix-Marseille Université, France Location: Marseille, PROVENCE ALPES COTE D AZUR Job Type: FullTime Deadline: 31 Jul 2024 Job Information Organisation/Company Aix-Marseille Université Research Field Biological sciences » Biology Biological sciences » Other Computer science » Programming Computer science » Other Medical sciences » Other Researcher Profile First Stage Researcher (R1) Country France Application Deadline 31 Jul 2024 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description RESEARCHER PROFILE:  PhD/ R1: First stage Researcher                   RESEARCH FIELD(S) AND DISCIPLINE

Fully Funded PhD in Understanding the solar-induced fluorescence (SIF) signal of tree canopies from remote sensing data, Germany

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  Fully Funded PhD in Understanding the solar-induced fluorescence (SIF) signal of tree canopies from remote sensing data Application Deadline: Open until filled Country: Germany Your Job: IBG-2 plays a globally leading role in retrieving and interpreting solar-induced fluorescence (SIF) measured with imaging and non-imaging sensors at different spatial scales (from leaf up to satellite observations) to monitor the dynamics in vegetation photosynthesis. In this context, the offered PhD position is embedded in a collaborative project together with partners from the German Aerospace Center (PBA) and Bonn University (RSRG). The main goal of the collaborative project is to derive leaf biochemical and canopy structural information from optical and LiDAR data and use this information in the 3D Discrete Anisotropic Radiative Transfer (DART) model to disentangle the functional (photosynthetic) and structural (architectural) contributions to forest canopy SIF derived from remote sensing observa

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