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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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. The position combines offshore fieldwork, laboratory analysis and modelling, with clear pathways to publication and impact. The outputs of this role will directly inform MOSAIC’s coordinated conservation
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, you will be guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? In the framework of a bilateral project
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spatial and temporal data analysis using advanced machine learning technologies. The successful candidate will become a part of an interdisciplinary team working to develop machine learning techniques
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. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-post-doc-raw-materials-lca-for-the… Requirements Research FieldGeosciences » OtherEducation LevelPhD or equivalent Skills/Qualifications
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methylome sequencing, custom NGS panels, liquid biopsy, and spatial transcriptomics. The primary focus of this position is to help optimize and complete research tasks related to the computational analysis
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offer Embedding within a computational team, with extensive experience in computational biology and
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sequencing instruments into microscopes! Your mission You will join our team, a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science research (http
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. • Design and implement studies on themes such as recreational quality, mental well-being, social connectivity, and resilience—integrating geospatial and spatial-temporal analysis to assess patterns