538 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
will have: ● PhD degree in molecular biology, genetics, biochemistry, biomedicine, medicinal and biological chemistry, bioinformatics, machine learning, biophysics, chemistry or similar, with adequate
-
driven, to allow researchers to focus on data intensive tasks. What we provide: An opportunity to broaden research experience in a collaborative environment. A team that believes in continuous learning and
-
collaborative environment. A team that believes in continuous learning and cultivates an environment of collaboration. Collaboration with research labs and other shared resources, including Molecular Genomics
-
collaborative environment. A team that believes in continuous learning and cultivates an environment of collaboration. Once trained, flexible schedule What you’ll do: Operate equipment in the cagewash facility
-
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
-
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
-
), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
-
skills in data science, advanced AI interface development and machine learning?to apply climate change and other relevant data to real-world problems exchange and coordination with project partners Your
-
mechanisms and kinetics to stabilize highly active but metastable surface motifs sustainable catalytic processes. Modeling Atomic Processes on Nanoparticles Develop atomistic models and machine-learning
-
machine learning methods are a plus. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated hands-on experience with 2-photon imaging techniques Experience