112 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "BioData" PhD positions at Nature Careers
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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Biotechnology (https://www.sciencedirect.com/science/article/abs/pii/S0958166923000770?via%3Dihub ). Your responsibilities: You will develop and investigate fermentation processes with heavily reduced CO2
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of the group. Finally, the doctoral student will have to fulfill the course requirements of the PhD program as outlined in the relevant rules and documentation available at the ki.se website. What do we offer? A
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lab with access to specialized equipment such as a P2 solo instrument which will be used to perform Oxford Nanopore Sequencing on site. We also have access to computational clusters which can be used
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of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https
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motivated and talented predoctoral researchers. The focus of our research is in the field of Data/Computational Science in Astrophysics & Cosmology. You can find more information about our research area and
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Call for applications We are pleased to announce the call for the second cohort of our Graduate Programme RNAmed – Future Leaders in RNA-based Medicine. Applications are invited for 11 PhD
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( https://doukalab.univie.ac.at/ ) on a research project supported by the European Research Council. They will be part of a leading international team of researchers in the department working across
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or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine