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evolutionary analysis. A central component of the research will be to develop machine learning and deep learning methods trained on coding sequences and protein structure to extract patterns in data and to draw
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Physics (with focus on machine learning and bone microscopy analysis, Soft Matter Lab) The Department of Physics at the University of Gothenburg is located in the center of Gothenburg, with approximately
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includes participating in research projects and third cycle courses. The work duties will also include teaching and other departmental duties (no more than 20%). Your research focus will be machine learning
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biology, with a strong computational profile. This research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine learning, artificial
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for users of the infrastructure. We envision that you will start with the easiest assignments and then as you learn and become more experienced, progress to increasingly difficult/qualified work
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service or service/assignment relevant to the subject area. Assesment Criteria Requirements: PhD in bioinformatics, biostatistics, computational biology, data science, machine learning, molecular biology
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. This project centers on applying advanced computational tools—such as bioinformatics, machine learning, and large-scale genomic data analysis—to unravel how pathogenic Escherichia coli (E. coli) evolve and adapt
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research subject area aims to lead to innovative development and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Lund
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in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about
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university degree in bioinformatics, molecular biology, biotechnology, or similar fields, or equivalent qualifications through courses and experience Extensive computer skills Experience working in a Linux