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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab in the Department of Medicine, Section of Epidemiology & Population Sciences is searching for highly motivated and talented post-doc
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our industrial partners. You will work in the cyber analytics and CISE labs in the Algorithmics and Software Engineering Research groups at the Software Technology department under supervision of dr
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with the rest of the team, you will build demonstators for the Find2Fix technology at our industrial partners. You will work in the cyber analytics and CISE labs in the Algorithmics and Software Engineering
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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this short-term project we shall use active learning to accelerate the training of deep learning algorithms for optimising 2D material van der Waals (vdW) structure discovery. The goal is to make model
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atmosphere Flexible working schedule (e.g. possibility for home office, paid lunch break - depending on working hours) International training and teaching opportunities Seal of quality for in-house advancement
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comprehensive scheduling algorithms) and handle sensitive information with confidentiality. Ability to work independently on a wide variety of tasks – both simple and complex - with minimal supervision and
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of the algorithm in the Thermal laboratory. Development and demonstration of an optimal maintenance schedule algorithm for reversible CO2 heat pumps (with and without ejector): (i) Use of the validated simulation
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in clinical trials. Regularly report on improvements or challenges. Documentation will occur via an online database 4. Support training and testing sessions: Coordinate the scheduling of training and
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other duties as assigned. Work Schedule 40 hours per week, worked between the time frame of Monday-Friday between the hours of 7:00 am and 7:00 pm. Flexibility is expected regarding schedules to meet