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in plant-microbe interactions, microbiome analysis, (comparative) genomics, and sustainable agriculture. enjoys combining laboratory research with computational data analysis. is eager to collaborate
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range of topics in numerical analysis and applied mathematics, including: Approximation Theory & Numerical Integration Mathematics for Data Science & AI Combinatorial Optimization Stochastics
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data collection and analysis, including neuroimaging or behavioral data•Languages: Dutch is strongly preferred, as the project involves extensive interaction with Dutch-speaking participants; English
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sequencing data generation and interpretation Bioinformatics and statistical analysis, to characterize genome evolution, mutation processes, and adaptation patterns The PhD candidate will progressively
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research. You have a good knowledge of and/or a strong interest in biomechanics and human motion analysis. Knowledge of or a strong interest in collecting experimental data (e.g., structural vibrations and
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working conditions at KU Leuven can be found at https://www.kuleuven.be/personeel/jobsite/en/academic-staff/academic-st… ; For more information please contact Prof. Dr. Jack McMartin (jack.mcmartin
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of digital media, AI, political communication and democracy; • Has a strong foundation in quantitative research methods and data analysis (e.g. SPSS, R, Python); • Is willing to further develop digital
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with cutting-edge instrumentation for both single-particle analysis and cryo-electron tomography. Research Project Protein kinases control nearly every aspect of cellular signaling and are among the most
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, or other quantitative data analysis, and some experience with statistical software packages; you are keen to develop these skills further. You possess strong and documented scientific writing skills. You
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16 Jul 2026 Job Information Organisation/Company KU LEUVEN Research Field Medical sciences » Medicine Psychological sciences » Behavioural sciences Researcher Profile First Stage Researcher (R1