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expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University
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with the laws, regulations and agreements that apply at any given time to the post. Please note that approved work permit is a prerequisite for the employment. According to its human resources policy
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. Experience using high-performance computing resources and automated data pipelines. Strong publication record and ability to communicate scientific results effectively. Capacity for collaborative work in
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develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and
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the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important
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note that an approved work permit is a prerequisite for the employment. According to its human resources policy, the University of South-Eastern Norway targets a balanced gender composition and aims
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, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to
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and to manage financial resources. D Excellent verbal and written communication skills, including conveying complex information adaptable to different audiences and the ability to place one’s specialist
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
environment, with access to state-of-the-art facilities and resources. This position offers an excellent platform for career development in plant molecular biology, genomics, and crop biotechnology. The Person
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resources through the AWS cloud system and the UBC High Performance Computing Cluster, enabling efficient analysis at all stages of data processing. The period of funding is 2-3 years, with 3 years being