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available, including high-parameter flow cytometry, confocal imaging, histopathology, metabolomics, single-cell sequencing, and bioinformatics support. Terms & Conditions: €25,000 annual stipend plus academic
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-source releases and publications Who we’re looking for Required MSc (or equivalent) in molecular biology, bioinformatics, computational biology, statistics, computer science, or similar Solid programming
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criteria: Knowledge of the molecular basis of ageing, muscle physiology, or the circadian clock. Experience or strong interest in data science, machine learning, or bioinformatics. Exposure to high
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-Holstein (UKSH), is seeking a PhD student with a strong background in statistics, machine learning (ML)/artificial intelligence (AI), or bioinformatics. Our group develops novel computational and statistical
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of genomics, epigenetics, molecular, cell and developmental biology, biochemistry, bioinformatics and immunology, with a focus on the normal and pathological development of the child. Doctoral candidates are in
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, with a particular focus on the early formation of neuronal circuits. Within the framework of the “ThalamoConnect” project, state-of-the-art single-cell technologies and bioinformatic analyses
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related field. Applicants with prior research experience and/or publications in areas such as cell biology, immunology, vascular biology, neurology, or bioinformatics are strongly encouraged to apply
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be investigated. Practical work involves collecting of plant material, wet lab work, bioinformatics, population genetic analysis, and growing plants to assess mutation accumulation. Your profile We
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
Applicants must have a Ph.D. degree in computational biology, bioinformatics, biostatistics, or a related discipline and experience commensurate with the Assistant Professor rank. Preferred Qualifications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Applicants must have a Ph.D. degree in computational biology, bioinformatics, biostatistics, or a related discipline and experience commensurate with the Assistant Professor rank. Preferred Qualifications