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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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efficiently interact in the interdisciplinary project. We seek candidates with a strong computer science, mathematics, statistics, or bioinformatics background and strong programming skills. Some previous
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of space and plasma physics Data analysis Programming skills (e.g., Python, Matlab, and/or C/C++) Proficiency in both written and spoken English. Terms of employment The employment is expected to result in a
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our PhD programme, please visit our information page. We offer a fully financed position. Your time will be devoted to your doctoral studies (80%) including coursework and writing a doctoral thesis
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international conferences. As a doctoral student, you will take both compulsory and elective courses, plan and execute your research projects independently, and have the opportunity to participate in teaching
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) Potential for international collaborations and secondments Opportunities for PhD, pedagogical and language courses both nationally and internationally (e.g. Nordic Five Tech and ALERT Geomaterials
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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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or more of the following programming languages/environments: Unity/Unreal, C/C++, C#, Python Basic understanding of the artificial intelligence and machine learning fields. Place of employment: Karlskrona
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, Culture and Communication (UKK) our students mainly study programmes relating to teacher education, but we also offer programmes and courses in languages and communication, mathematics/applied mathematics
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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the