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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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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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group focuses on developing strategies and algorithms to quantity biologic effects of particle radiation based on underlying physics, biology and physiology. Within the BMFTR funded project “BIOMICRO
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experimental molecular biology and cell biology is a merit, as is understanding of physics and structural biology, and experience in computational work including programming. You should be highly motivated and
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and/or wet lab experience a candidate with (or obtaining by January 2026) a final degree in medicine, biology, chemistry, bioinformatics, computer science or a related scientific or technical field
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. This is where you come in. The newly established Cancer Systems Biology lab of Dr. Craig Anderson is searching for an enthusiastic PhD student to play a principal role in understanding how DNA damage leads
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model microorganisms, with the aim
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Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project, e.g. population genetics, computational biology, bioinformatics, biology, computer
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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projects are multidisciplinary in nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily