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Field
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for the position, the following degrees, competencies and experiences are considered meritorious: • Hold a Master’s degree in computer science, AI, ML, data science, or equivalent subject. • Demonstrate proficiency
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the Workplace The PhD project will be conducted within the field
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computational approaches in cancer biology and functional genomics. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include
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project that truly matters? Then the position as a PhD student in Microwave Diagnostics for Disaster Care may be the perfect opportunity for you. You will have the chance to develop next-generation
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strive for all PhD students to get a solid international experience during their PhD. About the DDLS Fellows program The PhD position is part of the national research programme DDLS. Data-driven life
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application! We are looking for a PhD student in Medical Science. Your work assignments We are looking for a PhD student to join Professor Henrik Green’s research group, focusing on studies of new psychoactive
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well as supervising master’s student projects within the master’s program in Energy Engineering. Qualifications You are qualified to apply for this position if you have an MSc or equivalent degree in Environment and
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. Qualifications and merits To qualify for this position, you should have: A doctoral degree in Electrical Engineering, Computer Science, Applied Mathematics, Signal Processing, Machine Learning, Robotics, or a
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considered for this position, applicants must have a PhD degree in chemistry, materials science or a related subject when submitting the application. Priority will be given to applicants who have obtained
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Statistics at Umeå School of Business, Economics and Statistics