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-class scientists working on computational drug design you will learn the processes and challenges of drug discovery in the pharmaceutical industry from the inside. At Boehringer Ingelheim, you will have
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc.. You will be involved in all phases of this process. You will
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, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
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(such as MEA) to assess the impact of disease mutations on neuronal biology Collaborate with bioengineers, material scientists, and computational biologists to leverage AI-supported analytical pipelines
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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execution, along with associated computational competence (Please note: this specific job is not suitable for computational-only scientists) Strong track record in scientific communication, as evidenced by
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
, sociology, statistics, epidemiology, public health, economics, computer science, and allied fields. The successful candidate(s) will work on one or several of the four research themes of the Center: [1] the
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postdoctoral position exclusively for female researchers. This initiative aims to enhance the representation of female scientists within our project, providing an exceptional opportunity for talented women