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in vitro work, including work with primary cells isolated from human bone and bone marrow, and characterize these primary cells using various cell biology and molecular biology methods Establish data
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
Fixed term contract | Belval | 30 Months Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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requirements: MSc degree or comparable degree in electrical or mechanical engineering, physics or a related subject. The project involves hands-on cleanroom work, device fabrication, and high-frequency
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field in Electronic, Electrical and Computer Engineering The candidate should have at least 1 work published in prestigious journals and/or conferences, particularly Q1 journals and top-tier conference
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interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate
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, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The project focuses on the comprehensive characterisation of the zygotene cilium and
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possible. Applicant Profile Applicants should have a university degree in physics, physical chemistry, or biophysics (or near completion). Experience with computational science, programming (C/C++ or Python
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biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts