102 web-programmer-developer-"https:"-"https:" positions at Nature Careers in Germany
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of atomic and molecular aggregates of variable dimensions in the gas phase and on surfaces. Of particular interest is the application and further development of spectroscopic / spectrometric methods
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Postdoc (f/m/d) Regenerative Medicine Medical Faculty Tübingen, Institute of Vegetative und Clinical
career perspectives based on performance Attractive salary according including occupational pension (VBL) Opportunities for habilitation and participation in advanced training and professional development
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heterologous expression systems Apply and further develop molecular biological, imaging, and biophysical methods to characterize the function of mechanosensitive ion channels Analyze cellular signaling
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strong work ethic Proficiency in English (international lab environment) What we offer Goal-oriented, individual training and development opportunities Working with the latest techniques / technical
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with access to state-of-the-art facilities and equipment. Job Description develop novel approaches to study transcriptional regulation involving RNA and RNA-binding proteins during virus infection
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divisions and research groups, the focus of our 1,400 scientists is to unravel the causes and mechanisms of cancer development and progression, and to develop novel strategies for the diagnosis, early
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biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
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, execution and evaluation of translational projects in oncology research (e.g. tumor pathogenesis, mechanisms of tumorigenesis, biomarker-informed therapeutic intervention) Development of novel high impact
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and age-associated diseases, medical optics and photonics). The professorship is also responsible for the further development of the interdisciplinary certified SarcomaCenter Jena and the expansion
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projects on metabolic diseases * Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories * Collaborate with clinicians