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. The project, which will be executed in close collaboration with heritage partners, integrates archival research, crowdsourcing, oral history interviews, film analysis and participatory video research. You will
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but not required: Experience with clinical trials Experience with data analysis Experience with RedCAP What we offer We offer a doctoral scholarship for a period of one year. Following a positive
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the imec-Vision Lab (image reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy
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members, amongst others by organizing workshops, training sessions, and networking events You will develop and implement new proteomics methodologies (including data analysis) in collaboration with
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study results. You can demonstrate strong quantitative skills. Interest in or experience with the design, conduct and analysis of discrete choice experiments is an asset. You can demonstrate experience in
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critical, scientific mindset and are interested in proteomics technology and data analysis. You have basic knowledge of statistical tools. What we offer We offer a full-time PhD scholarship for a period of 1
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? Methodological analysis: What research methodologies could you use and how? Work plan: How would you go about developing this research further? What sources would you consult? What are some risks or challenges
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to the construction of affordable, robust, and portable detection platforms. Due to the integration of biorecognition elements, such as aptamers, electrochemical biosensors are ideally suited for the selective
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, troubleshooting and analysis Experience in Immunology or Neuroimmunology Experience in working with mouse models (FELASA B or C required) Ability to adapt to the research environments while being full members
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to join the research team of Prof. Dr. Wout Bittremieux. Position • Our international research team develops cutting-edge AI solutions for the analysis of mass spectrometry-based proteomics and metabolomics