Quantitative and Computational Biology - in lingua inglese
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Dottorato di ricerca
A Trento
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Descrizione
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Tipologia
Dottorato di ricerca
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Luogo
Trento
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Durata
2 Anni
The course is designed to train experts in biotechnology, computational biology, bioinformatics and biological data and systems biology analysis, who will have the opportunity to learn in a multidisciplinary context, interacting with students with different experiences. Strong emphasis will be given to quantitative and computational aspects, with a focus on tools to analyze, model and understand biological systems and phenomena.
Teaching activities include lectures, laboratory courses and seminars. The master of science thesis will be carried out during the second semester of the last year.
Students will have the chance to carry out research projects within the University of Trento organizations involved in the Master Degree, by other Italian or European Universities, or in industries operating in the biotechnology, bioinformatics and computational areas.
More information on the call for admissions and on online application procedure is available at the admission requirements section.
Sedi e date
Luogo
Inizio del corso
Inizio del corso
Profilo del corso
The course aims at building a scientific and professional profile enabling the understanding of complex biological phenomena and mathematical and computer models, as well as analytical approaches to physical phenomena.
Graduates will be trained as experts in the field of Quantitative and Computational Biology with particular relevance to the biomedical field.
Graduates in Quantitative and Computational Biology will be trained to build the following professional profiles:
Biotechnologist
Computational Biologist
Bioinformatics
Biologists data and systems biology analyst
Biotechnology ─ L-2 (1)
Information Engineering ─ L-8 (9)
Life Sciences ─ L-13 (12)
Science and agro-food technologies ─ L-26 (20)
Sciences and chemical technologies ─ L-27 (21)
Sciences and pharmaceutical technologies ─ L-29 (24)
Physical Sciences and Technology ─ L-30 (25)
Information Sciences and Technology - L-31 (26)
Mathematical Sciences L-35 (32)
Opinioni
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La qualità è molto alta ma dovrebbe offrire più sbocchi professionali.
← | →
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Docenti molto professionali con strutture all'avanguardia.
← | →
Valutazione del corso
Lo consiglia
Valutazione del Centro
V.
George
Successi del Centro
Tutti i corsi devono essere aggiornati
La media delle valutazioni dev'essere superiore a 3,7
Più di 50 opinioni degli ultimi 12 mesi
17 anni del centro in Emagister.
Materie
- Disease
- Molecular
- Sciences
- Cell Therapy
- Gene Therapy
- Pharmacology
- Genomics
- English B2
- Drug Discovery
- Cancer Biology
Programma
- Molecular Basis of Disease (12 credits)
- Statistical Methods for Experimental Sciences (6 credits)
- Cell Therapy (6 credits)
- Gene Therapy (6 credits)
- Molecular Pharmacology(6 credits)
- Genomics and Drug Discovery (6 credits)
- English B2 (3 credits)
- Cancer Biology (6 credits)
- Cancer Therapy (6 credits)
- Epigenetics of Cancer (6 credits)
Neurobiology track (first year):
- Cellular and Molecular Neurobiology (6 credits)
- Neurogenesis and Brain Regeneration (6 credits)
- Functions of the Peripheral Nervous System (6 credits)
Biomolecular Technology track (first year):
- Macromolecular Imaging (6 credits)
- Animal Models of Disease (6 credits)
- Macromolecular Biochemistry (6 credits)
- Virus-Cell Interaction (6 credits)
- Bacterial Pathogenesis (6 credits)
- Applied Immunology (6 credits)
Other credits (second year):
- Elective courses (18 credits)
- Stage/Internship (6 credits)
- Research seminars/Journal club (3 credits)
- Final thesis (30 credits)
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Quantitative and Computational Biology - in lingua inglese