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at Doctoral studies at the Faculty of Medicine. Background and description of tasks The PhD student will use state-of the-art methods such as cryo-electron tomography of cells/tissues and biochemical
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leadership roles (personnel and/or projects) in an academic or industrial environment with good references. Proven ability to combine the role of a technical expert with the ability to lead an organization and
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identify systems-level mechanisms in cancer that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. The long-term goal of our lab is to enable computer-aided design of
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will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
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such as: Good analytic skills, good collaboration and communication skills. Ability to work independently and to drive projects based on personal initiatives. Good skills in organization and planning work
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. 3D electron diffraction (3DED), also known as MicroED, has emerged as a powerful technique in determining atomic structures from nano- and microcrystals that are too small for traditional methods. Its
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having passed exams in areas relevant to the subjects of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer
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expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks
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and advanced time-resolved X-ray crystallography/ electron microscopy (cryo EM) on artificially activated hydrogenases to follow catalysis in the form of real time molecular movies. Solving protein
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biology. The applicant should also have an interest in learning, or previous experience in, computer programming, particularly using languages such as Python. The ideal candidate is driven and a creative