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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
. These syndromes are associated with a high risk of psychiatric disorders, especially schizophrenia. Preference will be given to applicants who have obtained a PhD in developmental neuroscience, cell biology, or
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will represent a gradient of Ne. In addition to standard bioinformatics work the project encompasses analysis of demographic history and Ne, estimation of inbreeding and genetic load, and eco
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and possible sources of exposure. Key Skills, Experience and Qualifications PhD in the field of Analytical chemistry/toxicology. High technical skills in analytical chemistry applied to the detection
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Additional Information Eligibility criteria The candidate should have a PhD in Biology/Evolutionary Biology and skills in bioinformatics and macroevolution (ideally models of phenotypic evolution
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to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of â˜omicsâ™ datasets. Hands-on experience
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Education Required PhD Desired Qualifications A doctorate degree in biological life sciences or biomedical sciences; a proven track record of publications; previous experience in more than one
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least
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-lab.com/ ) • Focus: Structure/function of chromatin-associated complexes using cryo-EM and biochemical approaches • Requirements: PhD in structural biology/protein biochemistry; expertise in protein complex
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: The successful applicant will hold, or shortly expects to obtain, a PhD
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required: PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics