144 cloud-computing-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" positions in Sweden
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neurorobotics, cognitive robotics and computational neuroscience. What we offer As Assistant Professor at Lund University, you will develop your qualifications as a researcher and teaching staff member over a
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deemed to have the ability otherwise required to successfully complete the program. General Qualifications Applicants must hold a university degree at an advanced level of at least 240 credits (ECTS
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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. During your doctoral studies, you will have the unique opportunity to work
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. The overall aim of the research program is to identify exposures occurring during such windows, determine their importance for breast cancer risk, and if they can be targeted for risk reduction. Work
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several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
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Studies (CMES) coordinates the Strategic Research Area (SRA) “The Middle East in the Contemporary World” (MECW). The research program consists of four research themes: 1) Environment and sustainable
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to 20% of their time, thereby prolonging the duration of the program to guarantee four years of graduate studies. More information about doctoral studies you can find here: www.umu.se/en/usbe/education
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part of the position. Duties As a doctoral student, you will primarily dedicate time to your own studies. The doctoral programme comprises 240 credits for a Degree of Doctor and 120 credits for a Degree
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels