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2 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Technology » Computer
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Engineering Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 21:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded
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/collaborative-doctoral-partnership-cdp-programme/cdp-programme-phd-candidates_en Where to apply Website https://academicpositions.com/ad/university-of-basel/2026/quantifying-the-of-ro… Requirements Research
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activities in order to accurately capture network behavior, especially in complex and highly dynamic scenarios. The objective of this research program is to develop analytical models and simulation tools
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set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. More at https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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Engineering - Research and Development in Lisbon Scholarship Theme: Spatiotemporal Models for Sustainable Mobility and Urban Health in Medium-Sized Cities Duration: 3 months Maximum Duration Including Renewals
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Lipid vesicles are indispensable model systems
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models and ex vivo approaches. Your goal is to enhance our mission to validate and credential new drug targets, to determine therapeutic efficacy, toxicity and resistance mechanisms and to discover and
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Sete, Languedoc Roussillon | France | about 2 hours ago
in computational ecology (R software) The ability to implement and develop scripts (linear models, multivariate analyses, AI) Openness to interdisciplinary approaches Writing and communication skills