51 phd-in-architecture-landscape-built-environment positions at Cold Spring Harbor Laboratory
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are desirable. Curious, motivated and driven new graduates looking for a 2-3 years academic position to strengthen their scientific and technical background before applying for PhD or MD programs are encouraged
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Degradation (TPD) therapeutic strategies to abrogate or rewire cancer cell signaling. We have recently established a new discovery platform to expand the landscape of TPD E3 ligases and targeting modalities
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plant architecture optimization, but new areas, particularly in molecular biology, immunology, and genomics, are welcome. For more information, see: navlakhalab.net. Position Requirements PhD in
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at the intersection of data science, genomics, and disease biology, with access to cutting-edge technologies and interdisciplinary collaboration within a highly dynamic and supportive research environment
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languages such as CUDA. Strong understanding of computer architecture, memory systems and parallel algorithms. Experience with profiling and debugging tools for GPU applications desired, such as NVIDIA
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effective therapeutic options. Position Requirements Education: PhD in Molecular Hematology, Molecular Biology, Cancer Research, or Cell Biology. Research experiences: Ideal candidates should have strong
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. doi: 10.3389/fcell.2022.986261. Position Requirements Candidates must have (or soon receive) a PhD degree. Experience in mouse embryonic stem cell culturing and differentiation, genomic analysis
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present results at lab meetings and conferences. Stay current with relevant literature and contribute to the lab’s research goals. Position Requirements Education: PhD degree Molecular Biology, Genetics
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of neural circuitry across rodent species to bridge this knowledge-gap. Position Requirements Candidates must hold a PhD degree (or equivalent) in neuroscience, biomedical engineering or a related field. The
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in learning about AI modeling What We Offer: A dynamic, collaborative environment at the intersection of cutting-edge genomics and machine learning research. Training in advanced genome-scale screening