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. ● Method Development: Develop and optimize analytical protocols for the detection of emerging contaminants, including both target and non-target analyses using LC-MS/MS, LC-HRMS, and GC-MS/MS
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. ● Method Development: Develop and optimize analytical protocols for the detection of emerging contaminants, including both target and non-target analyses using LC-MS/MS, LC-HRMS, and GC-MS/MS
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guidance from expert PET researchers and statistical support (from the Biostatistical Consulting Core). In addition, the candidate will have access to numerous internal funding mechanisms to obtain funding
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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guidance from expert PET researchers and statistical support (from the Biostatistical Consulting Core). In addition, the candidate will have access to numerous internal funding mechanisms to obtain funding
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in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in programming (e.g
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related field in hand by the time of the appointment. Strong background in distributed control, optimization, or multi-agent systems. Proven track record of high-quality publications. Proficiency in
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with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly desirable
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly