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in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages, PyTorch Familiar with foundation models (vision large models or multi
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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. Alexander Ecker (Institute of Computer Sciences, University of Göttingen). Candidate profile We are looking for a highly motivated candidate with: A strong background in animal behavior, behavioral ecology
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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part of the work, the applicant (m/w/div) is expected to participate in the lnstitute's structured doctoral program in order to successfully complete the dissertation. The initial appointment is for one
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program, colloquia, workshops). Your tasks Processing and analyzing text-based data from learning management systems, assessment systems and qualitative data sources such as interview transcripts
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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program. The overarching theme of BirdMORE is to further unlock the potential of Natural History Collections to study population and genomic change. Your tasks The study of demographic history in bird
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profile. Active participation in a large research project about the scaling of intervention studies, with a focus on mentoring for young people from disadvantaged backgrounds. the doctoral program in