74 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" "UNIV" PhD positions at Nature Careers
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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 Further information may be
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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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-01-01), together with leading researchers across Europe. You will become part of a cohort of 13 PhD students jointly trained in modern biophysical techniques involving both computational and
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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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studies and related subjects to apply for the International PhD Program. PhD students are supported by a Thesis Advisory Committee, participate in scientific and professional skills courses, attend
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(HPC) systems Background in statistical mechanics, thermodynamics, and molecular modeling To read more about the PhD program at the Department of Physics, Chemistry and Pharmacy, read more here
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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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