137 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions at Nature Careers
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for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A Masters Degree in (Bio
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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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. Skills and personal qualities Qualifications: The successful candidate should hold a Master’s degree in bioinformatics, computational biology, computer science, engineering, or a related quantitative field
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Computer Science, Applied Mathematics, Data Science, Computational Statistics, Bioinformatics, Computer Engineering, or related field that provides a sufficient background in computer science, mathematics, and
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the project: https://www.anthrofuture.com . The employment duration is 3 years (36 months). Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years
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innovative technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling in various
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About the lab involved The Laboratory of Ion Channel Research (https://voetslab.sites.vib.be/en ), led by Prof. Thomas Voets at the VIB–KU Leuven Center for Brain & Disease Research, is a dynamic
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with: Genuine interest in Finance, Economics or Statistics/Econometrics Strong quantitative and computational skills Candidates with a degree in Mathematics, Physics, Computer Science, Engineering or
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) 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 of teaching and