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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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23 Feb 2026 Job Information Organisation/Company University of Nova Gorica Department Human Resources Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions PhD
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
Biological sciences » Nutritional sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract
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Identifying novel regulators of colorectal cancer invasion School of Biosciences PhD Research Project Self Funded Dr Kyra Campbell Application Deadline: Applications accepted all year round Details
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interest in research focused on the valorization of such by-products. In parallel, consumer demand for clean-label and functional foods, together with increasing restrictions on synthetic additives, has
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to significant losses during processing, transport, retail and storage stages. In parallel, advances in sensor, information and communication technologies, together with increased computational capabilities, have
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Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy | Germany | 3 months ago
position of Academic Assistant (m/f/d). We are looking for an excellent and research driven candidate (m/f/d) who has successfully completed his/her/their PhD (or will have done so by the start of
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administrator, and a number of research fellows, research associates, and PhD students. Most staff are employed on/funded through external research grants especially from the National Institute for Health and
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application of ecological attributes to paleoecological data Molecular basis of repeated adaptation to challenging soils Parallel evolution of clonality in angiosperms The Genomic Basis of Partial
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and