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articles and processes. Your Profile We welcome applicants with varying levels of expertise and specialization, including professionals eager to learn and experienced system administrators ready to take on
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immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore
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, our people are at the heart of every breakthrough. Position You will work actively on the preparation and defence of a PhD thesis in the field of robust reinforcement learning (RL). This project
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of working from home (2 days/week). Learning and development opportunities to support your professional growth and broaden your expertise. Ready to Drive Change? If you are interested in this opportunity
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1 – Learning Mobility of Individuals for Staff
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The selected candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with
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that he/she can check approve your file . You will have to upload some documents Proof of enrolment as a PhD student at your home University A signed Learning Agreement. Please chose the correct template
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Good command of spoken and written English Patient, resilient, and eager to learn new techniques and take on responsibilities Assets (not required but advantageous): Laboratory work experience
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, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply
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enthusiastic about learning more advanced quantitative methods. You are a (near-)English speaker and fluent knowledge of Dutch and additional languages is an asset. You have excellent academic writing skills in