815 image-coding-"Foundation-for-Research-and-Technology-Hellas" Fellowship positions
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requirement for this position. Experience with opensource CFD software, including code development, is considered a strong asset. Excellent oral and written communication skills and a track-record demonstrating
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Sign in Search jobs Search Show all jobs Keyword or Job Code Locations Any Work type Any Expertise Any show advanced Search careers@lincoln.ac.nz Print Email this job to a friend Apply Apply with
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Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication
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writing C++ backend code, improving deployment on large-scale infrastructure, and implementing new features such as time-domain and Virtual Observatory functionality. Collaborate with international teams
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. fluorescence imaging, molecular biology, cell culture, immunohistochemical assays, circuit manipulations, mouse surgery or behavioral assays) and electrophysiological recording (in vivo extracellular recordings
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for Alzheimer’s disease and related dementias (ADRD) in older patients with multiple chronic conditions and cognitive impairment. This clinical research-focused position involves working with clinical, imaging
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developing miniaturized medical imaging technology. Key Responsibilities: Lead the development of new bioimaging/therapeutic technologies and multi-functional approaches for translational medicine and biology
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data collection with stakeholders from participating schools, organize, and manage data storage (f) Process and conduct qualitative data analysis (i.e., transcribing, coding) (g) Write reports, be
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postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience and proficient in processing different types of remote sensing datasets. Experience with terrestrial
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. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image