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consultations with the successful candidates, based on where their research best fits. Potential host departments include Department of Computing Science , Mathematics and Mathematical Statistics , Molecular
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The Department of Mathematics and Mathematical Statistics is looking for a PhD student in computational science to uncover how ecological communities respond to climate-induced stress. The position
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of the department, inspire students and positively influence the strategic leadership and management of our teaching activities. Have expertise in computer science or mathematics, with experience in developing novel
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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environmental and life sciences challenges. Courses will cover topics such as complexity science, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including
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. They have applications in mathematical economics, social choice, and computer science. The research group Nausica (led by Prof. Vicenç Torra) has extensive experience in the field and works with non-additive
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, the student must have satisfactorily undertaken courses in Mathematics equivalent to at least 30 ECTS credits. The assessments of the applicants are based on their qualifications and their ability to benefit
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must have taken relevant higher education pedagogical courses. Requirements: Doctorate in computer science, mathematics, or similar. Strong command of both written and spoken English language
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, mathematical modelling in evolution, ecology and plant biology, along with transferable skills, including interdisciplinary communication and collaboration. You will also be offered opportunities for research