150 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"CUBO" PhD positions in Germany
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competences of the faculty and research team members at the ETH Zurich in Switzerland ideally complement the competences in natural sciences and computer science at the Max Planck Institute for Intelligent
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research network Your profile Master’s degree (or equivalent) in a quantitative discipline, Earth system/environmental sciences or engineering, physics, mathematics/statistics, computer/data science
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research program. The doctoral thesis will be based in the working groups Organic Trace Substances (Organic Trace
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molecular tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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present them at international conferences Collaborate closely with researchers at TUM and partner institutions in Brazil Requirements A Master’s degree in physics, computer science, Earth system sciences
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team. You will be enrolled in the TUM Graduate School with its structured doctoral program and professional-skills courses. You will contribute to an French-German collaboration on next-generation
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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision