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will have obtained (close to the starting date) a PhD in Machine Learning, Data Mining, Computer Science, Information Systems Engineering, Informatics, Statistics, or a related discipline with a focus on
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this project, you will collaborate with (and possibly mentor) a PhD student. (3) Direct monitoring of the laser powder bed fusion process, leveraging the recoater movements. This work will be in collaboration
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on teaching needs and on the candidates’ qualifications, the appointment percentages may be expanded. Starting date: September 15, 2024. Eligibility criteria Successful candidates are expected: To hold a PhD in
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. Eligibility criteria • PhD in life sciences (bioengineering, biomedical sciences, genomics or equivalent) with a track record of publications in peer-reviewed journals. • Experience with method development
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motivated candidate with a strong academic track record and a PhD in Chemical Engineering, Adsorption / Materials Science, or a related field in Science and Engineering. A candidate passionate about
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The successful candidate has completed a PhD in Theology (New Testament Studies or Patristics), Classics, Oriental Studies, Linguistics or a related field. has an excellent command of Greek and Coptic and
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PhD in Theology (New Testament Studies or Patristics), Classics, Oriental Studies, Linguistics or a related field. Previous experience with the so-called Western text is desirable and advantageous. has
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for international excellence. Eligibility criteria • PhD in life sciences (bioengineering, biomedical sciences, genomics or equivalent) with a strong publication record. • Experience in spatial genomics
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fundamental and applied scientific research. It is highly inter- and multidisciplinary focused and strives for international excellence. Eligibility criteria • PhD in life sciences (bioengineering, biomedical