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department and the Plant Reproductive Strategies (SRP) team. Our team focuses on the evolution of plant reproductive systems, using diverse approaches including theory, experimentation, bioinformatics, and
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applying bioinformatics tools capable of predicting protein aggregation and co-aggregation, followed by large-scale scanning of microbial proteomes against the human proteome. The objective
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ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
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-synaptic elements Targeted genetic manipulations of the neurons studied Analytical activities Extraction and analysis of transcriptomic data (RNA-seq) from single cells Bioinformatic analyses related
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challenges Specific Requirements Desirable criteria Knowledge of bioinformatics or computational analysis Evidence of successful collaboration in multidisciplinary projects LanguagesENGLISHLevelExcellent
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contact Prof. Dr. Antonio del Sol (email address: ). Your profile Ph.D. degree in computational biology, bioinformatics, biology, computer science or related disciplines Strong computational skills
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the project's personalized treatment algorithms. For further information, please contact Prof. Dr. Antonio del Sol, antonio.delsol [at] uni.lu . Your profile Ph.D. degree in computational biology, bioinformatics
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» Biological engineeringYears of Research ExperienceNone Additional Information Eligibility criteria - Applications from holders of a PhD in theoretical chemistry or bioinformatics will be given priority
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bioinformatics to understand the functional role of lipids in the development of glioblastomas. The project is embedded within these activities, ensuring a stimulating scientific environment at the interface
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; bioinformatics TYPE OF CONTRACT: TEMPORARY JOB STATUS: FULL TIME HOURS PER WEEK: 39 APPLICATION DEADLINE: 01/03/2026 23:00 (Paris time) ENVISAGED STARTING DATE: 01/05/2026 ENVISAGED DURATION: 24 months. JOB FNOT