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, TensorFlow), is essential for developing and adapting advanced AI models to integrate heterogeneous datasets. You exhibit solid analytical skills, the ability to design robust computational workflows
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, single-cell spectroscopy, multicolour fluorescence and numerical modelling. This multidisciplinary approach will significantly advance our understanding about the resilience of coralline algae to projected
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Research Infrastructure? No Offer Description Are you passionate about advancing high-energy physics? Join our internationally recognized team at Chalmers University of Technology and contribute to cutting
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focus is the interplay of these factors with mitochondrial translation systems and respiratory chain complex assembly. We use the yeast Saccharomyces cerevisiae as our primary research model. In
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in the loop control - this could be a position for you. We are looking for an ambitious, collaborative, and structured person to join our team. You will lead research efforts in human-in-the-loop
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hold a PhD in immunology or related biomedical fields, and have experience in transcriptome/proteome expression assays, site-directed mutagenesis, advanced cell culturing, multicolor/spectral flow
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mutagenesis, advanced cell culturing, multicolor/spectral flow-cytometry and cell sorting. For the current position, priority will be given to candidates with documented experience in performing standard
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal
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onto tobermorite The work will be carried out in an inert gas glove-box, and the oxidation state of metals will be studied using advanced analytical methods. About the division The Energy and Materials