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Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate starting August 15, 2025. This position is for a post-PhD trainee preparing for a career path as
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. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re here to support you. A diverse and equitable study and work
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personality: Excellent German language skills (at least C1 level) are essential Completed doctoral/PhD studies in Islamic-Theological Studies or a comparable discipline Research in the field of Islamic theology
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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Disseminating the results in form of patents or publications, as well as assist in the technology transfer Your profile We invite applications from candidates possessing: A PhD degree with substantial experience
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(epifluorescence, etc.) Preferred Skills: • Interest in parasitology • Biochemistry (recombinant protein expression, immunoprecipitations, proteomics, etc.) • Bioinformatics (R, etc.) The candidate must have a PhD
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Researcher in FPGA-based AI Hardware Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 4 hours ago
within an interdisciplinary and international team, as well as with external partners. PhD in neuroscience, biology, or a related discipline Solid experience in animal research, including rodent models and
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. Evidenced track record in the design of photonic devices using simulation tools such as Ansys Lumerical. For appointment at Grade 7: A4 Normally Scottish Credit and Qualification Framework level 12 (PhD) plus
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to actionable, fleet-wide planning instruments in a rapidly evolving regulatory and technological landscape. Prerequisites Education PhD in operations research, applied mathematics, industrial engineering, or a