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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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identity studies. Under the joint supervision of Dr Morana Lukac and Dr Suzanne Manizza Roszak, with Prof Remco Knooihuizen as the professor of record, the successful candidate will develop their own
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future generations of research and development professionals; data specialists; technology experts; inventors; and scientists for industry and society. The Atomic Scale Physics group at the Department
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at different stages of their PhD journey, creating a rich, collaborative atmosphere. Funding Details Additional Funding Information Awards for both UK residents pay a stipend to cover maintenance as
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Philosophy), with Prof Felix Budelmann as promotor. You will be asked to: Complete the PhD in the specified timeframe (4 years) Conduct a total of 0.4 FTE teaching spread over the second, third and fourth year
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, allows for flexible sampling plans. Prof. Jelle Goeman co-developed the closed testing framework that gives flexibility for defining research questions in a data-dependent way. Thirdly, we add permutation
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cooperation with Kopter Germany GmbH and the Engineering Risk Analysis Group of Prof. Straub, which provides information on both the health and the actual stress of helicopter components. For this so-called
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Regular Job Code 9742R5 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational
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employees). As an equal opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and therefore especially encourages them to apply. For further information: Prof
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Prof. Dr. Jürgen Ruland: j.ruland@tum.de Application Applicants are asked to send one pdf file to the contact person. The file includes 1. cover letter, 2. curriculum vitae, 3. copies of academic degrees