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uncovering companion biomarkers for precision treatment using cutting-edge bioinformatics and proteomics approaches. You will analyze bulk and clonal protein expression data from large melanoma cohorts
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the other hand, mental healthcare providers and individuals in vulnerable situations. The key methodological tools for these studies are digital ethnography and conventional primary data collection (surveys
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, as well as expertise in generating hypotheses on molecular mechanisms derived from omics data. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell
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the supervision of PhD candidates and we encourage pursuing publishing and attracting research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own
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available at the Advanced Production Engineering (APE) research group, Engineering and Technology Institute Groningen (ENTEG), Faculty of Science and Engineering. For more information about the APE group
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. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before May 25 and include: CV and motivation letter Research and education
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, ambitious, creative, enthusiastic about RNA and interested in conducting both wet-lab and in silico work. You must Hold a PhD in molecular biology, biochemistry, or related disciplines. Have experience with
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. The key methodological tools for these studies are digital ethnography and conventional primary data collection (surveys, interviews). The post is part of two Horizon Europe projects: INSPIRE and EQUICARES
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well as limited ad-hoc student supervision. Finally, we will explore the possibility to involve the postdoctoral researcher in the supervision of PhD candidates and we encourage pursuing publishing and attracting
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‘RobotLab’, large numbers of experiments can be carried out, yielding large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems