62 parallel-processing-bioinformatics positions at Chalmers University of Technology in Sweden
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of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in
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methodological support by developing and implementing new experimental methods and processes, while maintaining and improving cleanroom and laboratory facilities relevant to integrated photonics. Train and support
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diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure
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your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each
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about doctoral studies at Chalmers here . Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the
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. Future RFB electrodes must be designed to effectively remove excessive heat generated during operation, while maintaining efficient mass transport and reaction characteristics within the microstructure
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, reconstructed via X-ray computer tomography. Qualifications In accordance with the European Union’s funding rules for doctoral networks, applicants must NOT yet have a PhD. To qualify as a PhD student, you must
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simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration and radiation generation in magnetic fusion, laser-produced and astrophysical
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), analyse their structure from the ensemble to single molecule level, and apply our findings to design new lipid nanoparticles to study, diagnose, and treat a range of diseases. We place particular focus
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC