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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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. This study investigated a range of research questions using RNC breast cancer data and explored potential secondary data linkages. The RELIANCE study was initiated under the umbrella of the “Plan National
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analyse data, interpret and present results to a high standard using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C
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problem-solving service-oriented mindset Ability to articulate clearly technical needs within an interdisciplinary setting Demonstrable computer programming skills are an advantage No prior knowledge
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an attractive salary according to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic
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orthogonal random directions. Mathematical Programming, 199(1):1179–1219, 2023. • J. Bolte, E. Pauwels, S. Vaiter. Automatic differentiation of nonsmooth iterative algorithms. NeurIPS 2022. Candidate Profile
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; Participate in lab meetings and scientific discussions. Key Skills, Experience & Qualifications Education & Experience: Enrolled in a Master’s programme (M2) in biology, immunology, oncology, or a closely
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interest are candidates that incorporate computational approaches in their research, and dry lab scientists are also welcome to apply. The successful candidate will participate in Graduate Programs and
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, programming in Python, advanced vector data analysis software (e.g. Paraview), knowledge of condensed matter physics, magnetism and/or electron microscopy.
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have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed