360 structures "https:" "https:" "https:" "https:" "University of Minho" Fellowship positions in Norway
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and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses
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the neuroscience work package which will investigate how HC use during adolescence influences structural and functional brain development and depression risk. Adolescence is a critical period of brain maturation and
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criteria see https://www.nmbu.no/en/research/regulations-and-guidelines-doctoral-degrees-nmbu To be employed, you cannot have previously held a PhD position at NIBIO or with funding from The Research Council
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depend on the candidate’s qualifications and CREATE's needs. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295895/phd-research-fellow-in-social-sciences Where
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Is the Job related to staff position within a Research Infrastructure? No Offer Description We are investigating the roles of structural proteins of the cell nucleus, nuclear lamins, in breast cancer
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of Informatics at Blindern, Oslo. Job description Unsupervised machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where
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of the Center for integrative neuroplasticity (CINPLA) and in the INTED center. This PhD project will focus on reinforcement learning methods for generating complex structures with two possible application areas
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work especially the real-time interaction among humans and between humans and a remote environment. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296470/phd
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the application. Details about the groups may be found using the following links: https://www.mn.uio.no/math/english/research/groups/several-complex-variables/index.html https://www.mn.uio.no/math/english/research
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machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where clustering analyses often form the basis for biological