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a dynamic research environment. Essential: You possess a Bachelor's degree or higher in Biotechnology, Biochemistry, Biology, Biomedical Sciences, Industrial Engineering, or a related life
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for next generation sequencing. We are currently seeking an enthusiastic and highly motivated lab colleague to join our divers and dynamic team of lab technicians and bioinformaticians. Your Role You
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technologies through core facilities and tech watch Direct connection to a growing team of LLM engineers at VIB Part of a dynamic research center with other groups sharing this mission A competitive salary and
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, dynamics, and function of macromolecular complexes involved in health and disease. VIB combines excellence in fundamental research with exceptional opportunities for innovation and technology transfer
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to contribute to a better understanding of the mechanisms underlying intratumor heterogeneity, its dynamics during progression & therapy response and its complex interaction with the tumor microenvironment
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better understanding of the mechanisms underlying intratumor heterogeneity, its dynamics during progression & therapy response and its complex interaction with the tumor microenvironment. The Department
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plus; A real team player with the capacity to take initiative and work independently in a dynamic and fast-paced environment; Strong sense of responsibility and a positive, enthusiastic approach to your
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biomedical research. Close collaboration with internationally recognized scientists. A dynamic and supportive working environment. Competitive salary and attractive benefits package
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
will be linked with STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics. STADIUS excels in combining fundamental and applied research. It develops mathematical engineering tools
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Chlamydomonas reinhardtii. The project will investigate how genome dynamics and environmental conditions interact to shape the evolutionary success of polyploids using: Experimental evolution approaches