124 postdoctoral-image-processing-in-computer-science-"Prof" PhD positions at Nature Careers
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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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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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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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the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information
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PhD Position - Neuroinflammation & Glial Biology (f/m/d) Hertie Institute for Clinical Brain Research, Neuron-Glia Interactions Lab, index number 6604 Part-time: 65 % Limited: 3 years Start of work
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. At the Faculty of Biology the Chair of Zoology and Animal Physiology (Prof. Dr. Schirmeier) offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees
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dedicated to digital transformation in healthcare, sports, food, and environmental monitoring through advanced (bio)chemical sensing, combining electrochemistry and imaging technologies. Led by Prof. María
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is a solid education in a subject such as biophysics, biochemistry, molecular biology, or biology. The research may entail both experimental and computational work. Therefore, experience in
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We