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Description This PhD project builds on ongoing research projects in the area of Nanofiltration for Contaminant Removal at IAMT. Novel nanofiltration membrane materials will be examined with
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/f/d, E13 TV-L, 50-75%) The position is limited for three years. Description of the project The research group of Prof. Dr. Frank Schreiber at the University of Tübingen deals with the physics
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%) The position is limited for three years. Description of the project The research group of Prof. Dr. Frank Schreiber at the University of Tübingen deals with the physics of molecular and biological materials
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flowering times over large spatial scales. Now, the PollenNet project seeks a highly motivated PhD student working at the interface of plant phenology, citizen science and ecological modelling. The PollenNet
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of the Leibniz Association. The following position is to be filled at the Institute at the earliest possible date, for a fixed term of three years, as part of the project ‘The role of glucosinolate
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07.05.2025, Wissenschaftliches Personal The Professorship of Earth Observation for Ecosystem Management is seeking a PhD student (m/f/x) working in the project “Assessing the impacts of transient
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Position (65%) in Organic Chemistry (f/m/d) Synthesis of Polycyclic Aromatic Nanobelts TACY (Tackling the Cyclacene Challenge) is a joint project between the research groups of Michael Mastalerz (Heidelberg
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circuitry during behavior, to the quantification of natural animal behaviors. We are looking for a PhD student to work on a joint project between the Neural Information Flow (Scholz) and Genetics of Behavior
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 3 months ago
, to large-scale functional imaging of brain circuitry during behavior, to the quantification of natural animal behaviors. We are looking for a PhD student (m/f/d) to work on a joint project between the Neural
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main focus on the development of control software. ▪ You will design and implement advanced control and readout protocols and optimize experimental characterization workflow,s leveraging machine learning