1,184 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions in Germany
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commissioned projects by industry partners What you contribute Study of computer science, mathematics, or a related field with a focus on machine learning and ideally computer vision Solid knowledge in ML
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doctoral programme in Health Data Sciences for outstanding junior researchers is to provide a structured framework of studies, research, and teaching for promising scientists in the disciplines of Health
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the next 6 months and are looking for a clearly defined, technically and methodologically grounded research topic. Ongoing studies in computer science, engineering, energy technology, data science, or a
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improve the sustainability, the energy efficiency and the safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Multisensor and
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Course location Gießen Description/content A Structured PhD Programme Within a Cutting-Edge Research Environment At the GCSC, you will actively participate in a research-intensive environment from
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change, partly based on a long-term monitoring program maintained in a shallow river-connected lake. We look forward to recruiting a creative and dedicated experimental ecologist with expertise in
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researcher to join the newly established Photosymbiosis Focus Group at the Helmholtz Institute for Functional Marine Biodiversity (HIFMB). You will combine state-of-the-art OMICS approaches, cell biology, and
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of Schleswig-Holstein (10%). It is one of the internationally leading institutions in the field of marine research. Through our research and our commitment to the transfer of knowledge and technology, we
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biology techniques such as qPCR and bulk and single-cell sequencing. Our work supports the testing and development of drugs targeting novel immunological pathways. The overarching goal of our research is to
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience