As part of the renowned Technical University of Munich, the TUM School of Management teaches and conducts research at the intersection of management and modern technologies. Accredited by AMBA, AACSB, and EQUIS, we meet a wide range of international quality standards, including outstanding faculty qualifications, globally oriented teaching, close collaboration with industry, and a strong commitment to ethics and sustainability.

Teilnehmerzahl: 18 Registrierung: im TUMi Büro (Stammgelände: 0185; Garching: IAS 1.012) Kosten: 28,50€ Treffpunkt wird per E-Mail an Teilnehmer versendet.

We are looking for participants in an upcoming research study. You will be able to do your own undisturbed woek (like writing your thesis) in one of our offices. 200€ upon completion.

Two PhD positions are available within an ERC-funded project. The projects will investigate how molecular chaperones support and control membrane protein biogenesis within a leading research environment.

Three postdoctoral positions on model-based machine learning within an Industrie collaboration to research and implement new Bayesian machine learning methods for high-dimensional inference problems. The goal is to advance current density estimation methods beyond the current state-of-the-art such as mixture models to enable automated detection of structure within data, including data classification, while keeping the full capabilities of the calculus of conditional probabilities. The project is part of an interdisciplinary collaboration between the MPA and two industrial companies located in Bavaria. The project seeks to develop a self-learning and self-organizing feedback control system which can be applied to different projects in astrophysics and industry.

Opportunity: We invite applications for a PhD position with a strong background or interest in bioinformatics, big data analytics, machine learning, applied mathematics and its application in computational proteomics. The successful candidate will become a key member of an ERC Starting Grant funded project called ORIGIN which aims to answer a fundamental question in biology: To which extent and prevalence are isoforms translated and functionally relevant. While mass spectrometry-based proteomics is the de-facto standard for measuring proteomes, it is not good at identifying isoforms. Proteins, thus also isoforms, leave a deterministic multi-dimensional fingerprint in each proteomic measurement. The central goal is to discover and quantify protein isoforms systematically by a novel MS-based proteomics data analysis strategy that utilizes these fingerprints. Candidates therefore must have a strong interest in one or more of the following aspects: Tap into the wealth of data the proteomics community has already amassed to train deep neural networks that allow the prediction of fingerprints. Implement an innovative data analysis strategy that utilizes the predictions to identify and quantify isoforms. Demonstrate that the novel approach can be used to address open questions in isoform-biology of varying biological and technical complexity. The main work duties of the PhD are in research and assisting in the supervision of bachelor and master-level scientist. Requirements: Candidates must hold an internationally recognized MSc degree in Bioinformatics, Biostatistics or a related discipline. Extensive theoretical knowledge of and practical skills in statistical analysis, data mining, data integration, machine learning, programming and database design are a plus. Additional desirable skills include a sound understanding of proteomic or related technologies as well as basic biological and (bio)chemical concepts. We are looking for a self-motivated and broadly interested individual with high potential and a strong sense of responsibility. Flexibility and the ability to work in a fast-paced environment on multiple scientific and infrastructure projects are essential. Good inter-cultural and interpersonal communication skills as well as presenting complex data to scientists in English are also important. Our offer: The position is available for four years. You will join an interdisciplinary team of life scientists and bioinformaticians who use the latest proteomic approaches. The TUM is one of the best academic institutions in Germany, a well worked out international program, offers a stimulating work environment and excellent future perspectives. Application process: Applicants should send a dossier containing a motivational statement (max. one page), a curriculum vitae summarizing qualifications and experience, copies of degrees and transcripts of study records, names and the email addresses of at least one referee as a single PDF document to Mathias Wilhelm (via mail mathias.wilhelm[at]tum.de). Online interviews will be conducted with selected candidates and remaining shortlisted candidates may be invited to the TUM campus in Freising, Germany, for face-to-face meetings with the group. All successful candidates are required to start June 1st, 2023. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Equal opportunity: The Technical University of Munich is an equal opportunity employer. As such, applications from women are explicitly encouraged. Preference will be given to candidates with disabilities who have essentially the same qualifications.

Are you interested in a research career and in working at the frontiers of biogeochemical processes and modelling? Then here is an opportunity to do a PhD in an internationally recognized research environment supported by national and international cooperation partners.

Wissenschaftliche Forschung und Lehre auf dem Gebiet der forstlichen Vegetationsökologie und Forstrenaturierung. Möglichkeit zur Habilitation.

Das Deutsche Herzzentrum München des Freistaates Bayern - Klinik an der Technischen Universität München - sucht für die Klinik für Chirurgie angeborener Herzfehler und Kinderherzchirurgie Unterstützung in Teilzeit (Montag, Donnerstag, Freitag)

Wir suchen für den Zeitraum vom 1. August bis 15. September einen Zwischenmieter für unsere schöne Wohnung in München-Feldkirchen.

Die Arbeitsgruppe von Prof. Matthias Hebrok, Lehrstuhl für angewandte Stammzell und Organoid Systeme und Direktor am Center for Organoid Systems, sucht zum nächstmöglichen Zeitpunkt eine Administrative Assistenz/Projektassistenz in Teilzeit (50%) (m/w/d).

Machen Sie sich mit den erforderlichen Inhalten eines Lebenslaufs vertraut und lernen Sie, wie Sie dabei Ihre Kompetenzen je nach Stellenausschreibung gut darstellen können. Im Anschluss haben Sie im Chat die Möglichkeit für weitergehende Nachfragen.

To strengthen our team, we are offering a Ph.D. position in long non-coding RNA in cardiovascular research. We are interested in the function of long non-coding RNAs (lncRNAs) within the heart and more specifically, cardiac macrophages.

Der Arbeitsmarkt für Ingenieure/innen bietet viele Möglichkeiten für einen gelungenen Berufseinstieg. Damit Sie diesen passgenau und erfolgreich gestalten können, gibt Ihnen dieses Webinar einen kompakten Überblick über die entscheidenden Faktoren im Bewerbungsprozess.

„From Art Nouveau to Now” – When Art & Architecture meets Management at Château Kněžice and beyond: Marketing Strategy

Wegen einer Softwareumstellung haben wir die Syndizierung mit externen Servern vorübergehend ausgeschaltet. Dadurch wird z.B. Fachschaftsnews nicht mehr in das Newsboard übernommen. Ab morgen Nachmittag sollte die Syndizierung wieder funktionieren.