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7 Mar 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Application Deadline 8 May 2026 - 23:59 (UTC) Country Belgium Type of Contract To be defined Job Status Full-time Offer Starting Date 15 Sep...
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engineering pipeline to derive actionable insight for cancer immunotherapy. Your work will primarily focus on antibody generation, affinity maturation and sequence optimization for target of interest. You will
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align with the core themes of our research line. In particular, and in a broad sense, we are interested in empirical doctoral research that focuses on the youth justice system, understood as the system
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workshops, and collaborating with leading researchers from multiple disciplines. The position offers flexibility and the opportunity to work in an enthusiastic team within a stimulating, multicultural
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Infrastructure? No Offer Description You are an ambitious, internationally oriented researcher in the domain of Statistics and Data Science. The research should contain a strong statistical component and align
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and youth and children's rights law. Together, we will identify a topic that aligns with your interests as well as with our research traditions. One possible example is the legal position fo children
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you provide evidence for your research and growth potential (e.g., demonstrate potential through multiple publications, academic references, promising research projects, and articles in preparation
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in the center of Europe, including potential to collaborate across multiple disciplines and to have access to a large cohort of talented students. Before you start your application, please read
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alignment with emerging regulatory frameworks. Essential Master’s degree in Pharmacometrics, Pharmaceutical Sciences, (Bio)medicine, (Bio)statistics, Bioinformatics, Biotechnology, Mathematics, Bioengineering
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routing decisions to minimize total costs, including transportation costs, inventory holding costs, and shortage costs at various locations (nodes) over multiple time periods. In real-world applications