79 evolution "https:" "https:" "https:" "Robert Gordon University" positions at Lunds universitet
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development to biomedical studies. The main research areas include sensitization, immuno-oncology, and biomarkers. The modern facilities are located at Medicon Village, where academic research is carried out
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balance, and a workplace climate characterized by collaboration, clear supervision, and strong opportunities for professional development. Read more on the university’s website about being an employee
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chemistry and structural biology to understand structure and function of biological macromolecules and to manipulate their function, e.g. by drug development. More information at https://www.compchem.lu.se
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microscopy on magnetic materials and/or the use and development of coherent x-ray microscopy techniques, to join the SoftiMAX team. As part of the team, you will ensure optimal operation of the beamline plus
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of the Protein Evolution group at the Department of Experimental Medical Science, Lund University. Her research group works with computational sequence and structural analysis of microbial genomes and proteins
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things, that you prepare, purchase components, build, maintain, demount, and document laboratory setups in undergraduate education. You will also actively participate in the development of new laboratory
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modelling, numerical methods for multiphysics problems, and the development of numerical optimization methods for virtual design of metamaterials and structures. Do you want to be part of a dynamic research
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coordinating unit for Lund University's InfraVis node, consisting of around 10 people with complementary expertise. InfraVis and CIPA provide all employees with professional development opportunities and strive
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laser pulses, develop attosecond pulse sources and to study ultrafast processes in semiconductor nanostructures using electron instrumentation. The position(s) imply the development of ultra-short pulse
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applications, including development and validation of machine-learning and statistical models for disease prediction, prognosis, and therapeutic response. Proficient in R, SAS, and other bioinformatic tools