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students in pharmacology, as well as possibly supervision of PhD students. Some degree of contribution towards attracting external research funding. You will report to Assoc Prof Felicity Davis. Your
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/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
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, data-driven methods based on omics. Techniques applied will comprise advanced 4D cellular and molecular imaging (e.g. lattice lightsheet SIM, genetically encoded sensors for subcellular and synaptic
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information, Prof. Mikkel Heide Schierup (mheide@birc.au.dk) is available for informal discussions regarding the potential fit for the position from the bioinformatics perspective and Associate professor Anders
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, and the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Assist. Prof. Thibault Viennet by email at thibault@chem.au.dk
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better and faster decisions when assessing funding applications, ensuring the efficient and unbiased elimination of poor applications? This question can be addressed through training algorithms on past
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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deter potential applicants from putting themselves forward for this role. Should you have any doubts or require further information, Prof Kristoffer Nielbo (kln@cas.au.dk) is available for discussions