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. amino acid and lipid metabolism), signaling pathways (e.g. mTOR and nutrient signaling), and systems-level regulatory networks that regulate basic T cell and dendritic cell biology and antitumor immunity
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, physics, mathematics, computer science, or related fields Demonstrated hands-on experience with machine learning techniques Strong programming skills (Python preferred) Experience analyzing time-series data
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systems and techniques including novel mouse models of metastasis, patient-derived samples, in vitro co-culture systems, molecular biology, multi-omics, and advanced microscopy approaches. The Labelle lab
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(TBI). The research will use in vitro and in vivo mouse models. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular biology, physiology, or cerebral vascular biology. 2
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letter describing their research interests and accomplishments, and the names and addresses of 3 references to steven.varga@stjude.org . Contact Information Steven Varga, PhD Department of Infectious
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Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, bioengineering, computer science, physics, or a related field Strong scientific curiosity, motivation, and rigor Strong communication
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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research group in Byers Eye Institute in the Department of Ophthalmology, which is led by Charles DeBoer, MD, PhD. Our aim is to develop ultra-small implantable devices to provide local drug delivery
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, optimize, and analyze high throughput functional assays and pooled library screens Help with the validation of candidate variants and genes in mouse models Analyze data using relevant software and present
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imaging (RNA/DNA FISH) Functional genomics and CRISPR-based perturbations Ideal Candidate A recent or upcoming PhD graduate in immunology, molecular biology, biochemistry, or related fields Strong expertise