122 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Postdoctoral positions in Germany
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. Central to its objectives is the development of methods for culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large-scale / high-throughput
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. Central to its objectives is the development of methods for culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large-scale / high-throughput
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marine realms. For this, a suite of thematic VREs will be developed that allow an easy-to-use application of models on available and harmonized biodiversity and environmental data. Both projects provide
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• Integrated sensing and communication: fundamental limits and algorithm design (1 PhD, Mari Kobayashi, mari.kobayashi@tum.de) • Optical fiber channel modeling, receiver processing, and coding (1PhD, Gerhard
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funds for scientific travel Opportunity for professional development including co-supervisory experience Flexible working conditions Attractive benefits incl. subsidy for public transport across Germany
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
links between family and health, [2] the role of genetic factors in shaping health inequalities, [3] international comparisons of health and health inequalities, and [4] developing new methods, in
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collaboration and cooperation - intra-institute, national and international, interdisciplinary opportunities to develop – on the job and towards other positions an international environment – everyday contact
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and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg
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of longitudinal cognitive data. Within this group led by Dr. Luca Kleineidam, the applicant will work on challenging and rewarding projects in a friendly and supportive team. Your tasks: Conduct and development
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interfaces (application programming interface, API) for system control are being developed in order to automate both process monitoring and process control. The API-based integration of the digital twin