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qualification in a relevant subject e.g. bioinformatics, computer science or similar At least two years’ experience of working in a research environment with bioinformatics, genomics and interpretation of big
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molecular biological and/or cell biology techniques. Experience in microscopy including confocal microscopy. Very good written and oral English language skills. Meritorious is: Skills in computational biology
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on the bioinformatics program. Qualification requirements Appointment to this career development position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
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Assistant Professor in sociology of law with focus on law, rights and social movements (PA2025/1917)
program with a specialization in sociology of law. You currently hold an international position in the research field, and you have not received a salary or grant from Sweden since before 31 December 2021
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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data
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observations requires computer knowledge and programming. Competence requirements To be admitted for studies at the third-cycle level, you must have completed a second-cycle level degree or course requirements
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courses and conduct independent research, leading to a doctoral thesis in business administration with a focus on entrepreneurship. The course component of the doctoral program corresponds to 90 credits
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of numerical methods for PDEs, expertise in High Performance Computing and proficiency in a programming language. Excellent written and verbal communication skills in English, the capability to conceive, execute
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programming languages (e.g., Python, R). Experience working in a LINUX/UNIX environment. An excellent molecular biology skillset. Experience with NGS library preparation supported by a strong publication record