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Field
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the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a
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of immunity as well as develop innovative cellular immunotherapies against cancer. Being part of the Center for Hematology and Regenerative Medicine (HERM) and Center for Cellular Cancer Therapy (C33T) , we
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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://www.ukri.org/what-we-do/developing-people-and-skills/esrc/funding-for-postgraduate-training-and-development/eligibility-for-studentship-funding/ Research in the Kirrander group explores sophisticated light
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) • German language skills are not required, but candidates are encouraged to develop those during their employment at the KU. Our offer • Possibility to pursue own research interests and obtain a PhD in mathematics
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Experience: Work developed related to the work and functions to be performed (punctuation: 30) Item 03: Specific Education: Programming microcontrollers, sensors and IoT communications (punctuation: 25) Item
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machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
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neuroscience. Dr. Muhammet Ikbal Sahan studies the interaction between spatial cognition and working memory, focusing on neural mechanisms underlying memory search. Prof. Dr. Katinka Dijkstra develops and
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 3 days ago
Invasive Species on Estuarine Ecosystems ”, with reference COMPETE2030-FEDER-00798600 (nº 16802) , financed by funded by the European Regional Development Fund (ERDF/FEDER) through COMPETE 2030