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The postdoctoral candidate will need to have training in drug screening. This project includes the study of a new platinum agent for clinical development, along with an ambitious goal of screening and discovering new uses for platinum chemotherapeutic agents. The trainee will bring experience in cell biology or bioinorganic chemistry and learn to work in a team-based world-class drug discovery environment. He or she will keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. He or she also will draft technical reports and manuscripts and will present their work internally and to external collaborators as needed.
The postdoctoral candidate will work on a project that includes the study of an understudied target class of enzymes, with the goal of SAR profiling the target class to promote probe development. Successful candidates will have a background in biochemistry, molecular biology, or cellular biology. Enzymology experience is preferred. Experience with drug screening and informatics are useful, but not required. The trainee will learn to work in a team-based world-class drug discovery environment. He or she will keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. He or she also will draft technical reports and manuscripts and will present their work internally and to external collaborators as needed.
Applicants to these postdoctoral fellow positions should possess a Ph.D. in neuroscience, cell biology, molecular biology, pharmacology, pathology or a related discipline with relevant experience in neuroscience, physiology and pathology of the nervous system to help establish a portfolio of assays to model neural circuitry of pain, addiction and overdose. The ideal candidates will be expected to work independently as well-trained problem solvers in the production of 3-D neural organotypic models, including architectural and physiological validation, and develop functional assay readouts for drug screening. They will keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. They also will draft technical reports, manuscripts and patent applications and present work internally and externally to consultants and collaborators as needed.
The selected candidate should be able to work independently under team supervision. The selected applicant will keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. They will draft technical reports and manuscripts and will present work internally and to external collaborators as needed.
The postdoctoral fellow will work as part of a multidisciplinary team of innovative scientists using the available resources to develop novel methods and assays for high-throughput proteomics analysis and mass spectrometry-based compound screening. The postdoctoral fellow will be expected to work independently as a well-trained problem solver in the areas of mass spectrometry and HPLC. He or she will manage, troubleshoot and regularly maintain the instrumentation. The fellow will be expected to prepare samples of various modalities prior to analysis. The fellow also will be required to keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. He or she will draft technical reports, manuscripts and patent applications, as well as present work at internal and external meetings.
The ideal candidate should possess a doctoral degree or equivalent in biology, computer sciences, bioinformatics or a related discipline, with one to three years of relevant research experience. Candidates should possess strong computer programming skills in R and other required languages (e.g., Python/Perl, Java, C/C++). Experience analyzing bulk and single-cell RNA-Seq data sets is essential. The candidate also should possess strong self-motivational and problem-solving skills, as well as outstanding interpersonal and teamwork skills. Excellent analytical, organizational and time management skills are required. Experience with proteomics data sets also is preferred, but not necessary. Applicants should be eligible to work in the United States for any employer.
The selected candidates will join a multidisciplinary team of innovative scientists with expertise in assay development, high-throughput and high-content screening, compound management, automation engineering, bioinformatics, medicinal chemistry and various -omics technologies. They will work in a highly creative environment, focusing on important aspects of human pluripotency and cellular differentiation using cutting-edge technologies (e.g., single-cell analysis, deep sequencing, robotic cell culture, high-throughput electrophysiology, genome editing). They will keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. They also will draft technical reports, manuscripts and patent applications and present work internally and externally to consultants and collaborators as needed.
The larger N is(that is, the greater the number of processors), the smaller the P/N fraction. It can be simpler to view N as a very large number, which essentially transforms the equation into \(S = 1/(1 - P)\). Now, if 3/4 of the running time of a sequential program is parallelized, the maximum speedup over serial code is 1 / (1 - 3/4) = 4.
For applications that need additional functionality or performance beyond what existing parallel libraries or parallelizing compilers can provide, parallel programming languages such as CUDA C++ that integrate seamlessly with existing sequential code are essential.
Memory allocated through the CUDA Runtime API, such as via cudaMalloc(), is guaranteed to be aligned to at least 256 bytes. Therefore, choosing sensible thread block sizes, such as multiples of the warp size (i.e., 32 on current GPUs), facilitates memory accesses by warps that are properly aligned. (Consider what would happen to the memory addresses accessed by the second, third, and subsequent thread blocks if the thread block size was not a multiple of warp size, for example.)
When deploying a CUDA application, it is often desirable to ensure that the application will continue to function properly even if the target machine does not have a CUDA-capable GPU and/or a sufficient version of the NVIDIA Driver installed. (Developers targeting a single machine with known configuration may choose to skip this section.) 2ff7e9595c
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