9 machine-learning-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions at Nature Careers in Germany
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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
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assessment of chemical plants using HAZOP analysis Use of process modeling and simulation to enhance quantitative assessments Use of machine learning to support HAZOP discussions with the aim of obtaining a
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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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approaches Encouragement to pursue own research ideas Opportunity to develop an independent scientific profile Possibility to acquire funding to support future projects REQUIREMENTS: Highly motivated and
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degree in Biology, Biochemistry or Chemistry Experience in protein biochemistry, molecular biology and/or cell biology Willingness to learn new methods and technologies in an international and
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to learn and team spirit Strong sense of responsibility, organisational skills, high reliability and flexibility Experience in single cell/nuclei or spatial transcriptomics are preferable, but not required
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medical professionals, scientists, and technical assistants A varied, challenging, and responsible position at the intersection of experimental and clinical research The opportunity to learn or deepen your
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disabilities will be given preference. Learn more about diversity at Helmholtz Munich