924 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file tolinda.petersohn@tu-dresden.de or to: TU Dresden
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First
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Research Institute at VTC (FBRI - https://fbri.vtc.vt.edu/ ) for a tenured or tenure-track faculty position at the associate or full professor level. The PRC initiative has received substantial funding
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at University of Cambridge. There will be ample opportunity to learn new techniques and refine existing ones. The ideal candidate should have a PhD in a relevant subject (or due to complete a PhD within 6 months
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position of a University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl
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to develop new methods, for example using machine learning. have a proven track record of independent research funding and high quality publications. have at least 5 years of post-PhD work experience
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will be payable upon successful completion of a contract. Further information about the Department is available at https://physics.hkust.edu.hk/ . Application Procedure Applicants should submit
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exclusively in electronic form and in accordance with the “Applicant Guideline Template” and the “Applicant Form” of the Medical Faculty Mannheim for W3 professorships (see https://www.umm.uni-heidelberg.de
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the Interreg project webpage ( https://www.sn-cz2027.eu/de/projekte/prioritat-2-klimawandel-und-nachhaltigkeit/100781629_beech ). For TUD diversity is an essential feature and a quality criterion of an excellent
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and knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering