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will include the design and implementation of explorative research pathways for general problems related to machine learning and computer vision. Specific research lines can be defined in collaboration
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commercialisation activities. The Research Assistant will work closely with the postdoctoral researcher and multidisciplinary collaborators to generate high-quality laboratory data supporting the mechanistic
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our ultramicroscopy hall, and experimental groups are (at no charge) supported by excellent mechanical and electronic workshops. We foster an international and collaborative atmosphere and have close
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of the regulations on the recognition of academic degrees obtained abroad (learn more about the procedure for the recognition of academic degrees: https://nawa.gov.pl/en/recognition/recognition-for-professional
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collaborate, each with their expertise, to carry out a scientific activity with a shared research goal. The Nanochemistry Research Unit (https://www.iit.it/research/lines/nanochemistry ) at IIT in Genoa
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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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for our research, with a strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
function and behavior. We also have long-term collaborations with the Kavli Institute for Systems Neuroscience in Trondheim, Norway. Learn more about our work: Department of Psychology – Christian Doeller
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workers in law enforcement, public transport, service work, and health care. We are seeking a candidate who is interested in learning or already has experience with video analysis and ethnographic fieldwork