Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Rehabilitation robotics Learning Systems, including Robot learning Machine learning Computer vision Intelligent control systems Candidates should have a strong international track record of creative research
-
continue until the position is filled. Principle Responsibilities: The successful candidate will teach anatomy & physiology or histology courses, introductory biology courses, and offer versatility in
-
Pathology and Neuropathology). In this position, you will be a key member of our interdisciplinary team, working closely with image scientists, machine learning researchers, and clinical collaborators
-
theory, machine learning interatomic potentials, machine learning Hamiltonians) for the investigation, optimization, and design of sustainable energy materials (especially batteries) Development
-
-performance climate computing and data facility. Our expectations: outstanding scientific credentials and relevant research activities in high-performance computing, machine learning, or AI significant
-
of image processing e.g. using machine learning German skills For further questions, contact Dr. lmke Greving (imke.greving@hereon.de). We offer you an exciting and varied job in a research centre with
-
will have: ● PhD degree in molecular biology, genetics, biochemistry, biomedicine, medicinal and biological chemistry, bioinformatics, machine learning, biophysics, chemistry or similar, with adequate
-
software systems—robotics, controls, imaging, and data pipelines—into reliable, high-performance research tools. Develop and implement algorithms for machine vision, adaptive control, and real-time learning
-
, ATAC-seq, CUT&RUN, MERFISH, Visium), epigenomic data processing (chromatin accessibility, histone marks, enhancer mapping), multi-omics integration using Seurat, Signac, Harmony, ArchR or Scanpy, machine
-
PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
polyoxometalates Using suitable characterization methods to characterize the synthesized materials Using machine learning tools to tune the synthesis parameters in a feedback loop and enhance the properties