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the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
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reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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probing experiments Data analysis Publications in peer-reviewed journals and presentations at international conferences Supervision of trainees and students This is part of your profile: A PhD degree in
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them in a future trial. Patient and public involvement in the development, interpretation and dissemination of findings will also be key. About you Applicants will possess a relevant PhD (or nearing
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Full-Time, Fixed-Term (36 months) Salary is £41,945 to £48,003 pro-rata per annum (including London Allowance) We are looking for a highly motivated early career researcher with a PhD (or near
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and Medical Sciences and will work closely with a large, interdisciplinary team of academic researchers and clinical collaborators. You should have a PhD (or be about to obtain) in areas relevant
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sustainability, performance, and reliability. Our research leverages optimization techniques, applied machine learning, and statistical analysis to achieve these objectives. Through the DecAI project we will work
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modeling and Al tools to psychological and clinical data. You will teach courses independently within the scope of the provisions of the collective bargaining agreement. You will take on administrative tasks
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complements LCAB’s research programmes. High competence in the analysis of large ecological and other data sets and time series. Ability to write up research for publication in high profile journals, along with