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or cryogenic electron microscopy (cryo-EM) Determination of protein ligand binding using biophysical methods (SPR, ITC, or related methods) Experience in the following areas is an advantage: Structure-based drug
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component corresponding to 30 ECTS, which corresponds to one semester. The remaining six months will be allocated to this formal training. Qualifications and personal qualities: The applicant must hold a
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. The candidate will work with state-of-the-art analytical instrumentation, generate extensive experimental data sets and analyze them using advanced bioinformatics methods. The work tasks include to: Generate and
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comprises a training component corresponding to 30 ECTS, which correspondsto one semester. Qualifications and personal qualities: The applicant must hold a Norwegian master’s degree or an equivalent foreign
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will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30
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). Potential other methods include laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), Raman spectroscopy, time of flight secondary ion mass spectrometry (ToF-SIMS), electron microscopy (EM
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microbial genomics, atomic force microscopy combined with vertical scanning interferometry (ATM-VSI), x-ray diffraction (XRD). Potential other methods include laser ablation inductively coupled plasma mass
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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning
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physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or equivalent) in
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, we expect machine learning to be employed to improve accuracy and efficiency of numerical methods, combining advanced technology with scientific research. About the Department of Mathematics at UiB