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no later than the time the employment decision is made. The applicant should have a PhD with an area competence relevant for the project, for example engineering mechanics with focus on fluid dynamics and
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request. They should have experience of your capabilities as a researcher and collaborator. A link or PDF attachment with your PhD thesis. Copy of PhD diploma and transcript of grades from your previous
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. This eligibility requirement must be met no later than the time the employment decision is made. Prior publications within top machine learning venues. Prior experience with under supervised deep learning during PhD
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Project description Third-cycle subject: Physics We are looking for a PhD student to work within the research platform NuMaP (Nuclear Materials Platform) (numap.se ) with modeling and experiments of damage
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? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Physics The PhD student will join the
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Doctoral student (lic.) in Production Engineering with focus in Circular Manufacturing Systems (CMS)
for a doctoral student in research on Circular Manufacturing Systems (CMS) and their implementation. The position is to a licentiate degree, with the possibility to extend to a PhD degree. The successful
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that your application is complete according to the ad. The application must include: CV including relevant professional experience and knowledge. Copy of PhD diploma. Brief account of why you want to conduct
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issued in any of these languages. Contact information to 2 references PhD thesis and 2 selected published articles (both in pdf form) Your complete application must be received at KTH no later than
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the recruitment of three PhD students and 3 postdocs. The announced positions will be performed in connection to the larger programs; NEXT (NEutron and X-ray science for industrial Technology transitions
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. This eligibility requirement must be met no later than the time the employment decision is made A PhD in computer science or a relevant subject and a strong background in one or more of the areas mentioned in