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international research group. We value quality over quantity, both in terms of group size and when choosing publication venues.The lab is embedded into an excellent environment for research in computer science
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Build and optimize workflows for analyzing biodiversity and entomological texts, focusing on functional traits, historical context, and geographic scope relevant to current environmental challenges
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research facilities on an extensive science campus Cross-disciplinary research in a vibrant, international scientific environment First class supervision and mentorship by a team of internationally renowned
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 1 month ago
11 Sep 2025 Job Information Organisation/Company Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung Research Field Environmental science Researcher Profile First Stage
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knowledge of electrochemistry and experience with fuel cell test Ability to cooperate across disciplines in an international environment Independent, structured and target oriented way of working Software
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The Department “Genes and Environment” (lead by Prof. Dr. Dr. med. univ. Elisabeth Binder) at the Max Planck Institute of Psychiatry in Munich is offering a position as a PhD Student (m/f/d
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resilient horticulture. The IGZ conducts research at the interface between plants, humans and the environment. In doing so, we address systemic and global challenges such as biodiversity loss, climate change
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of pharmacological and functional intervention strategies Analysis of cellular and structural changes using histology and imaging Contribution to a collaborative and interdisciplinary lab environment Profile Master’s
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12.09.2025 Application deadline: 20.10.2025 The Plant Ecology Group at the University of Tübingen is searching for a PhD student / doctoral candidate in Plant Ecology (m/f/d, E13 TV-L 65%, limited to 36 months) Deadline: 20.10.2025 Terrestrial ecosystems are facing unprecedented rates of...
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the application of machine learning (ML) methods or large language models (LLMs) Proficiency in Python programming and confident use of Unix/Linux environments; ideally experience with version control systems (e.g