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to optimise the welding process, and the adjacent manufacturing stages (pre-process and post-process) for time, cost, energy, and resource reduction. The solution(s) will be validated in two semi-industrial use
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Level-2 and Level-3 simulated data through AI-assisted physics-informed data fusion models (supported by other EO data, such as SMOS, SMAP, Sentinel-1 and SWOT). STEP 2: Decompose the Generated-Level-4
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will collaborate with fellow colleagues to create a modular software framework representing the behaviour of the physical system, with connections to technical-operational models developed in the project
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are looking for an enthusiastic postdoc, with: a completed Ph.D. degree in (bio)physics, quantitative microscopy, interdisciplinary nanosciences, biochemistry, or related areas; practical experience in
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statistical methods to process and analyse data; design and investigate an intervention; recruiting schools and teachers writing international peer-reviewed scientific papers; working in a collaborative team
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: [email protected] Do you want to apply? You can apply directly using the apply button on the vacancy page on our website which will allow us to process your personal information with your approval
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details of three academic referees. Please note: You can apply online. We will not process applications sent by email and/or post. A pre-Employment screening can be part of the selection procedure
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biology, [email protected] . For questions about the application process or the conditions of employment , please contact Sascha Sanchez van Oort, HR advisor, [email protected] or +31 40
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[email protected]. Do you want to apply? You can apply directly using the apply button on the vacancy page on our website which will allow us to process your personal information with your approval