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student will be involved in is led by Associate Professor Moa Bursell, who will also serve as the main supervisor for the PhD student. The Wallenberg AI, Autonomous Systems and Software Program – Humanity
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the summer months. Qualifications Basic Qualifications: Previous experience working outdoors for full days Previous experience with data entry and graphing with spreadsheet software such as excel Some prior
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well as analysis of data using R software will be advantageous for the position. The candidate should have an excellent academic record, be highly motivated, demonstrate independent scientific thinking and
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(e.g., using Matlab) and in real-life using Software Defined Radios (SDRs). You will write detailed technical evaluation reports on the developed solutions, implementation, and experiments, leading
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. - Strong motivation for scientific research, ability to work independently and effectively plan and organize research tasks - Familiarity with standard office software and scientific data presentation
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machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly
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resilience and sustainable forest stewardship in the face of global changes.Support includes a competitive funding package, and also includes: designated lab/office space, computer and software, conference
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://www.umu.se/en/department-of-computing-science/ Project description In modern software systems and the organizations that run them, a substantial part of day-to-day decisions with critical impact on individual
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of econometric methods, statistical software (e.g., Stata or R), or experience with economic experiments is an advantage. Independent yet collaborative – You can work autonomously while thriving in a team-based
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linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC supercomputing and running software on scale. You are highly motivated, independent, and creative. Strong