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or construction is beneficial. Using centralized computer systems. Certification on Forklift Operations (or willingness to acquire on the job) Physical Requirements & Working Conditions Ability to lift, carry and
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develop compuaitonal methods and build models of proteins and develop and apply tools for structure prediction. You will simulate protein complexes and test effects of physical conditions on them. You will
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: A completed university degree (Master’s or equivalent) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including
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include reverse engineering, CAD design, 2D drawing with focus on application of GD&T, analysis and simulation for selected components. As well, this engineer will be responsible for the overall development
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computers, video cameras and microphones Physical ability to lift, move, maintain and set up computer, audio-visual and simulation lab equipment weighing up to 50 lbs. without assistance Ability to maintain a
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computers, video cameras and microphones Physical ability to lift, move, maintain and set up computer, audio-visual and simulation lab equipment weighing up to 50 lbs. without assistance Ability to maintain a
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. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. Salary, pension and terms of employment are in
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interest in the position. Please include your reasons for pursuing this opportunity and how your experience and goals align with the mission and teaching values of our program. A copy of unofficial
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number CAC/0007/2022 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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personal sphere of influence: The Computational and Soft Matter Physics Group at the Faculty of Physics invites applications for a praedoc position in the group of Prof. Christoph Dellago. The group develops