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and conduct active and successful research at a high international level. You will lead and develop medical education in clinical medicine at high quality, in collaboration with other programs and
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the Karolinska University Hospital? Are you interested in preclinical, translational and clinical research about solid tumors in adults? Are you interested in oncological treatment and would like to lead the
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scores on factors in hierarchical models of psychopathology. The PhD student is expected to lead and complete four projects on this topic under the supervision and guidance of supervisors. What do we offer
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researcher to work with Dr. David Marlevi and co-workers on the use of machine learning and physics-informed analysis for improved hemodynamic risk prediction using four-dimensional flow magnetic resonance
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applicant will take the lead in analyzing multiple projects that involve integrating metabolomics and lipidomics data with other omics (e.g., proteomics, transcriptomics) as well as clinical phenotyping data
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will be to lead and perform experimental work using molecular and cellular biology technique such as siRNA, histology and microscopy, next generation sequencing and cell culture models, conduct data
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leverage computational methods, statistical models, and machine learning to dissect and interpret vast datasets to uncover novel insights that can lead to improved treatment strategies. Key Responsibilities
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inflammatory cytokines in lung disease. The goal is to define mechanisms of relevance to asthma that ultimately may become novel targets for future treatments. The post-doctoral fellow will lead a project to
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research plan and performed in close collaboration with a PhD student. The fellow will work independently and lead this part of the project with freedom to modify the original research plan as needed
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collaboration with a PhD student. The fellow will work independently and lead this part of the project with freedom to modify the original research plan as needed. Ongoing support will be available from the PI