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the consistent further development of its profile-forming priority research areas Molecular Cell Biology, Neurosciences, Cardiovascular Medicine and Oncology. With its German Centers for Health Research partner
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. Experienced in both strain development and related modelling & data analysis. Experienced with processes of biomanufacturing, including fermentation, downstream processes and scale-up. Proven leadership in
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processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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real-time during behavioural tasks Integrating virtual reality paradigms with behaviour and imaging to assess decision-making processes Exploring potential therapeutic interventions for NMDA receptor
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/). Further information can be found on the website of the university: https://www.kuleuven.be/english/life-at-ku-leuven Application procedure Please submit your application through the KU Leuven portal. In
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activities #participation in stakeholder co-design processes, i.e., with regional authorities, nature conservation organizations, farmers - Reporting and Publication #prepare regular progress reports
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the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en
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areas of the group is investigation of the fate of vitamins and other nutrient due to processing of foods, particularly in the context of ultra-processed and plant-based foods. The group also contributes
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
(spoken and written) High level of independence, motivation, and enthusiasm for interdisciplinary research Preferred experience: Research experience in biomaterials or drug delivery Familiarity with physico