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Phd Student: Nanopore Sequencing-based
il y a 2 semaines
PROJECT
We are looking for a curious, agile and committed PhD student to join the NANO-SCOPE project, funded by FNR CORE.
Our study aims to develop a diagnostic tool using Nanopore sequencing-based DNA methylation patterns from cfDNA to molecularly classify brain tumors before surgery, potentially improving prognosis and reducing time to diagnosis.
The project is primarily computational, with some wet laboratory components. The latter is supported by PD Dr.Katrin Frauenknecht (LNS, Luxembourg).As part of our team, we offer a vibrant multidisciplinary and multinational working environment and strong support, fostering collaboration and innovation.
The University of Luxembourg and LIH offer comprehensive training in both scientific advancements and essential soft skills.KEY RESPONSIBILITIES
- Participate in the settingup and implementation of the research project
- Conduct a research project with the aims of submitting a PhD thesis dissertation and obtaining a PhD degree
- Publish results in scientific journals
- Participate in training and international scientific conferences
- Disseminate results to the scientific community and the public
- Participate in laboratory activities including seminars and interaction with other teams
KEY SKILLS, EXPERIENCE AND QUALIFICATIONS
- Master's degree in the biomedical/bioinformatical field with an interest in computational biology and machine learning
- Previous experience in bioinformatics, R and/or Python programming
- Wet laboratory and analytical skills, and experience with nextgeneration or longread sequencing is a strong asset
- Scientific creativity and originality, precise perseverance, writing skills, good communication skills
- Language skills: fluent command of English; knowledge of other languages of the European Union is an asset
In Short
:
- Contract type : Fixedterm contract (CDD)
- Contract duration : 36 months
- Work hours : 40h/week
- Location : rue Thomas Edison 1 A-B LUXEMBOURG
- Start date : 01/04/2024
- Ref : JA/PHD0124/RT/MODAS
How to apply:
Applications including a letter detailing your motivation and a curriculum vitae should be sent through our website.
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