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DTU Tenure Track Assistant Professor in Microbial ecology and microbiome engineering - DTU Bioeng...
of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Applications received after the deadline will not be
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. Videira, (III year, 2M), training on APC activation by GNM. PhD School enrolment: Chemical Science at the University of Florence (https://www.dottoratoscienzechimiche.unifi.it/index.html ) Where to apply
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Application Deadline 16 Apr 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
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of the EU member countries after your title had been recognised. To Apply: Please send your CV mentioning reference SW-113 at info@phd-jobs.net Tel.: +40 765 734 800 HR Partner: Vitaly Pryadka Web: http
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science » Computer systems Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 May 2026 - 23:00 (Europe/Paris
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PhD fellow, you will be admitted to the Faculty of Humanities’ PhD programme . The programme includes a training component of 30 ECTS, corresponding to six months of the employment period
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With this PhD programme we train young researchers in the field
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for Molecular Medicine (WCMM fellows), within the network Program for Academic leaders in Life Science, PALS, see https://www.palsnetwork.se . Subject area The position targets outstanding applicants with
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methods that can accurately model such processes remains an open and active research frontier. This PhD project is fundamentally about advancing that frontier, contributing new methods for generative