54 web-programmer-developer-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Stony Brook University
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sphingosine-1-phosphate) as well as biological responses that impact cancer development, progression, and therapy. For more information about the groundbreaking research please visit The Lipid Cancer Laboratory
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Qualifications: Grad or undergrad Degree in Clinical Psychology. Teaching experience with certifications in Inclusive Teaching and Curriculum Development. Brief Description of Duties: The Postdoctoral Associate
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lensing, (2) experience with strong gravitational lensing, (3) coding and software development, (4) student mentorship experience, (5) statistical inferences from astronomical data or (6) work in large
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Qualifications: Grad or undergrad Degree in Clinical Psychology. Teaching experience with certifications in Inclusive Teaching and Curriculum Development. Brief Description of Duties: The Postdoctoral Associate
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are appropriately conducted following the policies and procedures of Stony Brook University. Specific Duties: ● Within the predetermined research scope and methodology, conduct research experiments in developing
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are appropriately conducted following the policies and procedures of Stony Brook University. Specific Duties: ● Within the predetermined research scope and methodology, conduct research experiments in developing
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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leveraging imaging and clinical data from our key patient populations to support more accurate diagnosis, staging and clinical decision making. ● Developing custom models for auto-segmentation and auto
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leveraging imaging and clinical data from our key patient populations to support more accurate diagnosis, staging and clinical decision making. ● Developing custom models for auto-segmentation and auto