11 master-"https:"-"https:"-"https:"-"https:"-"UCL" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" in Norway
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scripts developed by group members, meaning team cooperation and spirit will be highlighted in daily works. The main work tasks are listed below. Literature reviews. Set up numerical experiments for testing
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conferences and/or research stays at educational institutions Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in biology or
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of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective
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conditions and tailoring nutritional requirements to individual embryos. The duration of appointment is 3 years. Your main tasks will be Apply advanced low-input liquid chromatography–mass spectrometry (LC–MS
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methodologies will be used, including standard molecular biology techniques such as DNA/RNA isolation and plasmid preparation, retroviral transduction of T cells, culture of primary T cells, multiparameter (up
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Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative practices. MishMash
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education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative
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of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective
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more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and
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-driven neuroscience Main responsibilities Perform advanced statistical analyses of large-scale human genetic, phenotypic, environmental, and registry-based data to investigate resilience and risk factors