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the subject. More precisely: PhD degree in computer science, machine learning, computational biology, or a closely related field Strong research track record demonstrated by publications in
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Your Job In the present call we are offering one remaining Tasso Springer PhD fellowship. The PhD project will focus on the following topic, related to the core focus of our JCNS institutes. The
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and application of the AgroC agroecosystem model for simulating water, carbon, nutrient and energy fluxes at the field and farm scale Integration of AgroC with the Parallel Data Assimilation Framework
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networks. Your competencies You must hold a PhD in microbiology, biotechnology, or a related field (or expect to complete it before the start date) and have a track record of first-author publications
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subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics
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Alexander Skupin: Your profile Core qualifications: PhD in bioinformatics, computer science, computational biology, physics, data science, or related fields Strong interest in interdisciplinary and
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control instruments can be integrated into a closed-loop workflow, enabling optimization of cryo-EM sample preparation parameters without requiring immediate access to a cryo-EM microscope. In parallel, a
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information, please contact Your profile PhD degree in Computer Science or related fields, e.g. applied mathematics Proven research track record : publications in A* venues in Cryptography or Information
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collaborators that can help you expand your professional contacts. 📓Qualifications PhD in Computational Virology, Computer Science or other related field. Awarded the PhD before the start of this appointment
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candidate has at least submitted the PhD thesis. A02_Project_Description_name_of_applicant scientific general Detailed project description including summary, research plan, midterm research vision, list