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Computer Science or other related areas. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a cover letter and curriculum vitae and include
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or scholarships to help support their salary will be highly recruited. PhD or MD with previous training in biochemistry or cell biology and possess exceptional computational skills. Baylor College of Medicine is an
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Computational Biology, Bioinformatics, or a related field At least 2 years of experience in analyzing large-scale genomics datasets. Experience with NGS pipelines and multi-omics integration Familiarity with
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PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model microorganisms, with the aim
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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and postgraduate students. The School is also responsible for the supervision of ~120 PhD students, reflecting research strengths and expertise in the disciplines of Animal Biology, Computational
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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of reports/papers and present in international peer-reviewed conferences and journals. To be involved in the mentoring of PhD/Masters/FYP students. Job Requirements: Preferably PhD degree in computer science
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medicine residency, medical school, and graduate school at CU. Our faculty researchers are leading innovations through discoveries in immunology, computational biology, genetics, epidemiology, and outcomes