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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
now! Education The candidate should have a PhD degree in Chemistry, Chemical Engineering, Materials Sciences or related fields. Experience and skills Extensive experience in the Atmospheric Plasma
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addition, you will be involved in the implementation and execution of courses and administrative tasks. Your profile PhD in physics experience investigating (nanoscale) magnetic systems at synchrotron
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you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in agricultural science, agricultural engineering
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic epidemiology and
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degree in molecular biology, cardiovascular medicine, biology or computer science Strong background in bioinformatics, mass spectrometry, epigenetic and NGS approaches preferred At least one first-author
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enquiries can be directed to Prof. Kai Wirtz (kai.wirtz@hereon.de ). Your profile MSc and PhD in environmental sciences, physics or related disciplines with experience in programming languages (e.g., Fortran
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diseases by uniting AI and nanotechnology Lead the bio-market via trans-disciplinary convergence in AI, nano-optics, and protein-structural biology Core Technologies: Neurobiology, Neuroscience on proteins
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning