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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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. The candidate will have the opportunity to obtain additional external funding and develop an independent research program during the postdoctoral training. We are looking for an enthusiastic scientist with a
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Draževic, and will jointly develop the heterogeneous
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and phosphoproteomics with computational approaches, we will build a comprehensive molecular framework that links specific inflammatory pathways to clinical phenotypes. Our goal is to provide
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort